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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1103681</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of low-density lipoprotein cholesterol and lipoprotein(a) on mid-term clinical outcomes following coronary artery bypass grafting: A secondary analysis of the DACAB trial</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Yu</surname><given-names>Qixiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Xue</surname><given-names>Qing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Hao</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/607445/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Hu</surname><given-names>Junlong</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Rui</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Song</surname><given-names>Yuanyuan</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhou</surname><given-names>Yanzai</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhu</surname><given-names>Yunpeng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1879209/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Qiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Cardiovascular Surgery</addr-line>, <institution>Ruijin Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Cardiovascular Surgery</addr-line>, <institution>The First Affiliated Hospital of Naval Medical University, Shanghai Changhai Hospital</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Department of Cardiothoracic Surgery</addr-line>, <institution>Xinhua Hospital, Shanghai Jiao Tong University School of Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><addr-line>Department of Cardiac Surgery, Heart Center of Henan Provincial People&#x2019;s Hospital</addr-line>, <institution>Central China Fuwai Hospital of Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><label><sup>5</sup></label><addr-line>Department of Cardiovascular Surgery</addr-line>, <institution>Nanjing First Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff6"><label><sup>6</sup></label><addr-line>Department of Cardiovascular Surgery</addr-line>, <institution>Jiangsu Province Hospital</institution>, <addr-line>Nanjing</addr-line>, <country>China</country></aff>
<aff id="aff7"><label><sup>7</sup></label><addr-line>Department of Biostatistics, School of Public Health</addr-line>, <institution>Fudan University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Kanhua Yin, Washington University in St. Louis, United States</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Marat V. Ezhov, Ministry of Health of the Russian Federation, Russia Pierre Voisine, Institut Universitaire de Cardiologie et de Pneumologie de Quebec, Canada</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Yunpeng Zhu <email>zyp12220@rjh.com.cn</email></corresp>
<fn id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn001"><p><bold>Specialty Section:</bold> This article was submitted to Heart Surgery, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>24</day><month>03</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1103681</elocation-id>
<history>
<date date-type="received"><day>20</day><month>11</month><year>2022</year></date>
<date date-type="accepted"><day>03</day><month>03</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Yu, Xue, Liu, Hu, Wang, Song, Zhou, Zhang, Zhu and Zhao.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Yu, Xue, Liu, Hu, Wang, Song, Zhou, Zhang, Zhu and Zhao</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec><title>Purpose</title>
<p>The objective was to evaluate the influence of low-density lipoprotein cholesterol (LDL-C) and lipoprotein(a) [Lp(a)] on clinical outcomes in patients undergoing coronary artery bypass grafting (CABG).</p>
</sec>
<sec><title>Methods</title>
<p>This is a secondary analysis of a 5-year follow-up of the DACAB trial (NCT02201771), in which 500 patients who underwent primary isolated CABG were randomized to three-antiplatelet therapy for 1 year after surgery. Of them, 459 patients were recruited in this secondary analysis. Baseline LDL-C and Lp(a) levels were collected, and repeated measurement of LDL-C levels during the follow-up were recorded. Cut-off values for LDL-C were set at 1.8 and 2.6&#x2005;mmol/L; thus, the patients were stratified into LDL-C &#x003C;1.8, 1.8&#x2013;&#x003C;2.6, and &#x2265;2.6&#x2005;mmol/L subgroups. Cut-off value for Lp(a) was 30&#x2005;mg/dL; thus, the patients were divided into Lp(a) &#x003C;30 and &#x2265;30&#x2005;mg/dL subgroups. The primary outcome was 4-point major adverse cardiovascular events (MACE-4), a composite of all-cause death, myocardial infarction, stroke, and repeated revascularization. Median follow-up time was 5.2 (interquartile range, 4.2&#x2013;6.1)&#x2005;years.</p>
</sec>
<sec><title>Results</title>
<p>During the follow-up, 129 (28.1&#x0025;) patients achieved the attainment of LDL-C &#x003C;1.8&#x2005;mmol/L, 186 (40.5&#x0025;) achieved LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L, and 144 (31.4&#x0025;) remained LDL-C &#x2265;2.6&#x2005;mmol/L. Compared with the postoperative LDL-C &#x003C;1.8&#x2005;mmol/L group, the risk of MACE-4 was significantly higher in the LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L group [adjusted hazard ratio (aHR)&#x2009;&#x003D;&#x2009;1.92, 95&#x0025; CI, 1.12&#x2013;3.29; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.019] and LDL-C &#x2265;2.6&#x2005;mmol/L group (aHR&#x2009;&#x003D;&#x2009;3.90, 95&#x0025; CI, 2.29&#x2013;6.64; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). Baseline Lp(a) &#x2265;30&#x2005;mg/dL was identified in 131 (28.5&#x0025;) patients and was associated with an increased risk of MACE-4 (aHR&#x2009;&#x003D;&#x2009;1.52, 95&#x0025; CI, 1.06&#x2013;2.18; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.022).</p>
</sec>
<sec><title>Conclusions</title>
<p>For CABG patients, exposure to increased levels of postoperative LDL-C or baseline Lp(a) was associated with worse mid-term clinical outcomes. Our findings suggested the necessity of achieving LDL-C target and potential benefit of adding Lp(a) targeted lipid-lowering therapy in CABG population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>coronary artery bypass grafting</kwd>
<kwd>lipoprotein(a) [Lp(a)]</kwd>
<kwd>low-density lipoprotein cholesterol (LDL-C)</kwd>
<kwd>lipids</kwd>
<kwd>major adverse cardiovascular events (MACE)</kwd>
</kwd-group>
<contract-num rid="cn001">DLY201802</contract-num>
<contract-sponsor id="cn001">Shanghai Jiao Tong University School of Medicine</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="41"/><page-count count="0"/><word-count count="0"/></counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><title>Introduction</title>
<p>Coronary artery bypass grafting (CABG), the most commonly performed cardiac surgery, is considered to be the most effective revascularization strategy for several subsets of patients with coronary artery disease (CAD) (<xref ref-type="bibr" rid="B1">1</xref>). CABG has significantly improved the prognosis of patients with higher disease burden, complex coronary lesions and in the presence of diabetes, as compared to percutaneous coronary intervention (PCI) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Even after surgical revascularization, these patients are stratified as a very high risk population susceptible to subsequent cardiovascular events, leading to mortality and morbidity. The effectiveness of CABG is affected by the progression of atherosclerosis occurred in native coronary arteries (<xref ref-type="bibr" rid="B4">4</xref>). In addition, accelerated atherosclerotic progression in the grafts usually compromises the success of CABG as well (<xref ref-type="bibr" rid="B4">4</xref>). Thus, lipid management remains the cornerstone strategy in secondary prevention after CABG (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Low-density lipoprotein cholesterol (LDL-C), the most fundamental and important factor in the development of atherosclerosis, is regarded as an extensively studied, well-established modifiable risk factor and the main target in the primary and secondary prevention of cardiovascular disease (CVD) (<xref ref-type="bibr" rid="B6">6</xref>). Elevated LDL-C is associated with increased cardiovascular events and event reduction has been proved to be proportional to the magnitude of LDL-C lowering (<xref ref-type="bibr" rid="B7">7</xref>). Thus, in patients with CAD, optimization of LDL-C and statin prescription is associated with reduced morbidity and mortality (<xref ref-type="bibr" rid="B6">6</xref>). For CABG patients, lowering postoperative LDL-C with statins and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors has been proved to be effective in reducing residual cardiovascular risk (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Despite their effectiveness and clinical benefits, statins still remain underused and the achievement of LDL-C target is not satisfactory (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Besides LDL-C, lipoprotein(a) [Lp(a)] is recently recognized as a long underestimated cardiovascular risk factor (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Lp(a) is causally and independently associated with increased risk of CVD (<xref ref-type="bibr" rid="B14">14</xref>). In secondary prevention settings, some studies proved that Lp(a) was associated with adverse cardiovascular events (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Results from a patient-level meta-analysis revealed that elevated baseline and on-statin treatment Lp(a) were independently related with cardiovascular disease risk (<xref ref-type="bibr" rid="B17">17</xref>). However, it remains inconclusive whether increased Lp(a) is associated with worse clinical outcomes in CABG patients.</p>
<p>The relationship between lipid profiles and clinical outcomes in patients following CABG is not well understood. Thus, we conducted a secondary analysis to investigate the impact of LDL-C and Lp(a) on mid-term major adverse cardiovascular events (MACE) in patients following CABG.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<sec id="s2a"><title>Study population</title>
<p>The DACAB trial was a prospective, multicenter, randomized trial. Briefly summarized, 500 patients from six Chinese tertiary hospitals were randomized to ticagrelor 90&#x2005;mg twice daily plus aspirin 100&#x2005;mg once daily, ticagrelor alone 90&#x2005;mg twice daily, or aspirin alone 100&#x2005;mg once daily for 1-year open-label antiplatelet therapy after CABG between July 2014 and November 2015. The primary outcome was 1-year vein graft patency at the graft level. The trial design and eligibility criteria have been published previously (<xref ref-type="bibr" rid="B18">18</xref>). In this secondary analysis, patients who had LDL-C and Lp(a) measured at baseline and LDL-C repeatedly measured during the follow-up period were pooled. Thus, 459 patients in the DACAB trial formed the present analysis. This study was approved by the independent institutional review board of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine.</p>
</sec>
<sec id="s2b"><title>Study procedures</title>
<p>Baseline LDL-C and Lp(a) were obtained when patients were admitted to the participating hospitals. Repeated measurements of LDL-C were required at 1, 3, 6, and every 12 months after CABG. The average value of these LDL-C levels during the follow-up was used to represent the postoperative LDL-C level. The patients were stratified into LDL-C &#x003C;1.8, 1.8&#x2013;&#x003C;2.6, and &#x2265;2.6&#x2005;mmol/L subgroups. We adopted the sequential thresholds from the 2016 European Guidelines on cardiovascular prevention in consideration of the study period (<xref ref-type="bibr" rid="B19">19</xref>). Lp(a) was evaluated by an immunoturbidimetric method according to the manufacturer&#x0027;s instructions with a normal value of &#x003C;30&#x2005;mg/dL; thus, the patients were classified into Lp(a) &#x003C;30 and &#x2265;30&#x2005;mg/dL subgroups. We did not repeat Lp(a) measurement for the reason that Lp(a) was considered genetically determined by LPA gene and the concentration remained relatively stable and was refractory to lifestyle and drugs including statins (<xref ref-type="bibr" rid="B20">20</xref>).</p>
</sec>
<sec id="s2c"><title>Clinical outcomes and follow-up</title>
<p>The primary outcome was 4-point MACE, composed of all-cause death, myocardial infarction (MI), stroke, and repeated revascularization (MACE-4). Secondary outcomes included MACE-3 and MACE-5. MACE-3 was composed of cardiovascular death (CV death), MI, and stroke. MACE-5 was composed of all-cause death, MI, stroke, repeated revascularization, and rehospitalization for unstable angina. All-cause death included cardiovascular and non-cardiovascular death. CV death was referred to any death caused by cardiovascular cause and any death that had no identified reason. MI was composed of ST-segment elevation MI (STEMI) or non-STEMI (NSTEMI). Stroke was defined as new focal neurological deficit lasting &#x003E;24&#x2005;h and adjudicated by a neurologist based on image records. Patients were contacted at 1, 3, 6, and every 12 months after surgery. All end point events were adjudicated and reviewed by the independent adjudication committee. Antiplatelet therapy was prescribed according to the randomization for the first year, and then other secondary prevention medications were prescribed based on recommendation from the latest guidelines. Information about the use of secondary prevention medication was updated every 3&#x2005;months during the first year after CABG.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>Continuous variables were expressed as mean with standard deviation (SD) or median with interquartile range (IQR). Categorical variables were presented as frequencies with percentages. Continuous variables were compared by using Student&#x0027;s <italic>t</italic>-test or one-way ANOVA and categorical variables were examined by using Fisher&#x0027;s exact test or Chi-squared test. The results of time-to-event analyses were carried out by using the Kaplan&#x2013;Meier estimates, and the log-rank test was used to calculate the statistical difference. Cox proportional hazards model was used to estimate hazard ratios (HRs) with 95&#x0025; confidence intervals (CIs). These models were adjusted for traditional cardiovascular risk factors and statistically significant variables in the subgroup comparisons. All analyses were performed by using SAS version 9.4 (SAS Institute Inc.). All statistical tests were two-sided and <italic>P</italic> values &#x003C;0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>Among the 500 patients, 41 were excluded due to incomplete lipid profiles. This study population had a mean age of 63.2&#x2009;&#x00B1;&#x2009;8.1 years and 81.5&#x0025; were male.</p>
<sec id="s3a"><title>Baseline LDL-C and clinical outcomes</title>
<p>These patients were stratified into three groups according to the baseline LDL-C levels. Clinical characteristics among the three groups were compared. Patients with increased baseline LDL-C were tended to be younger, more associated with on-pump CABG and less prescribed with angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB) at discharge. Increased baseline LDL-C levels were associated with lower prevalence of previous MI and hypertension (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). There was no loss to follow-up. MACE-4 was observed in 133 (29.0&#x0025;) patients, including 41 cases (30.4&#x0025;) in the LDL-C &#x003C;1.8&#x2005;mmol/L group, 59 (29.1&#x0025;) in the LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L group, and 33 (27.3&#x0025;) in the LDL-C &#x2265;2.6&#x2005;mmol/L group. Compared with the baseline LDL-C &#x003C;1.8&#x2005;mmol/L group, the risk of MACE-4 was not statistically different in the LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L (HR&#x2009;&#x003D;&#x2009;0.90, 95&#x0025; CI, 0.61&#x2013;1.35; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.620) and &#x2265;2.6&#x2005;mmol/L groups (HR&#x2009;&#x003D;&#x2009;0.86, 95&#x0025; CI, 0.54&#x2013;1.36; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.521) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). After adjusted for multiple covariates including age, gender, comorbidities, baseline Lp(a), secondary prevention medication, on-pump surgery, and the use of internal mammary artery (IMA), compared with patients with baseline LDL-C &#x003C;1.8&#x2005;mmol/L, the HR for MACE-4 occurrence was 0.82 (95&#x0025; CI, 0.51&#x2013;1.33; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.613) for patients with LDL-C 1.8&#x2013;&#x003C;2.6 and 0.90 (95&#x0025; CI, 0.60&#x2013;1.35; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.426) for patients with LDL-C &#x2265;2.6&#x2005;mmol/L.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Kaplan&#x2013;Meier curves of MACE among different baseline LDL-C levels (mmol/L). Kaplan&#x2013;Meier estimates for freedom from (<bold>A</bold>) MACE-4, (<bold>B</bold>) MACE-3, and (<bold>C</bold>) MACE-5. MACE, major adverse cardiovascular events; LDL-C, low-density lipoprotein cholesterol; MACE-4, 4-point MACE; MACE-3, 3-point MACE; MACE-5, 5-point MACE.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g001.tif"/>
</fig>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics of the study population stratified by LDL-C levels.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Characteristics</th>
<th valign="top" align="center" rowspan="2">Total (<italic>N</italic>&#x2009;&#x003D;&#x2009;459)</th>
<th valign="top" align="center">Baseline LDL-C (mmol/L)</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center" rowspan="2"><italic>P<bold>-</bold></italic>value</th>
<th valign="top" align="center">Postoperative LDL-C (mmol/L)</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center" rowspan="2"><italic>P<bold>-</bold></italic>value</th>
</tr>
<tr>
<th valign="top" align="center">LDL-C&#x2009;&#x003C;&#x2009;1.8 (<italic>n</italic>&#x2009;&#x003D;&#x2009;135)</th>
<th valign="top" align="center">1.8&#x2009;<bold>&#x2264;</bold>&#x2009;LDL-C&#x2009;&#x003C;&#x2009;2.6 (<italic>n</italic>&#x2009;&#x003D;&#x2009;203)</th>
<th valign="top" align="center">LDL-C&#x2009;&#x2265;&#x2009;2.6 (<italic>n</italic>&#x2009;&#x003D;&#x2009;121)</th>
<th valign="top" align="center">LDL-C&#x2009;&#x003C;&#x2009;1.8 (<italic>n</italic>&#x2009;&#x003D;&#x2009;129)</th>
<th valign="top" align="center">1.8&#x2009;<bold>&#x2264;</bold>&#x2009;LDL-C&#x2009;&#x003C;&#x2009;2.6 (<italic>n</italic>&#x2009;&#x003D;&#x2009;186)</th>
<th valign="top" align="center">LDL-C&#x2009;&#x2265;&#x2009;2.6 (<italic>n</italic>&#x2009;&#x003D;&#x2009;144)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years, mean (SD)</td>
<td valign="top" align="center">63.2 (8.1)</td>
<td valign="top" align="center">63.9 (8.3)</td>
<td valign="top" align="center">63.9 (8.1)</td>
<td valign="top" align="center">61.2 (7.9)</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">63.3 (8.1)</td>
<td valign="top" align="center">64.5 (7.9)</td>
<td valign="top" align="center">61.4 (8.2)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">374 (81.5)</td>
<td valign="top" align="center">118 (87.4)</td>
<td valign="top" align="center">162 (79.8)</td>
<td valign="top" align="center">94 (77.7)</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="center">113 (87.6)</td>
<td valign="top" align="center">155 (83.3)</td>
<td valign="top" align="center">106 (73.6)</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Clinical status, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.051</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">CCS</td>
<td valign="top" align="center">159 (34.6)</td>
<td valign="top" align="center">58 (43.0)</td>
<td valign="top" align="center">62 (30.5)</td>
<td valign="top" align="center">39 (32.2)</td>
<td valign="top" align="center" rowspan="2"/>
<td valign="top" align="center">53 (41.1)</td>
<td valign="top" align="center">65 (35.0)</td>
<td valign="top" align="center">41 (28.5)</td>
<td valign="top" align="center" rowspan="2"/>
</tr>
<tr>
<td valign="top" align="left">ACS</td>
<td valign="top" align="center">300 (65.4)</td>
<td valign="top" align="center">77 (57.0)</td>
<td valign="top" align="center">141 (69.5)</td>
<td valign="top" align="center">82 (67.8)</td>
<td valign="top" align="center">76 (58.9)</td>
<td valign="top" align="center">121 (65.1)</td>
<td valign="top" align="center">103 (71.5)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10">Medical history, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction</td>
<td valign="top" align="center">143 (31.2)</td>
<td valign="top" align="center">40 (29.6)</td>
<td valign="top" align="center">75 (36.9)</td>
<td valign="top" align="center">28 (23.1)</td>
<td valign="top" align="center">0.031</td>
<td valign="top" align="center">42 (32.6)</td>
<td valign="top" align="center">59 (31.7)</td>
<td valign="top" align="center">42 (29.2)</td>
<td valign="top" align="center">0.814</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">348 (75.8)</td>
<td valign="top" align="center">113 (83.7)</td>
<td valign="top" align="center">151 (74.4)</td>
<td valign="top" align="center">84 (69.4)</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">99 (76.7)</td>
<td valign="top" align="center">148 (79.6)</td>
<td valign="top" align="center">101 (70.1)</td>
<td valign="top" align="center">0.134</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">211 (46.0)</td>
<td valign="top" align="center">68 (50.4)</td>
<td valign="top" align="center">95 (46.8)</td>
<td valign="top" align="center">48 (39.7)</td>
<td valign="top" align="center">0.218</td>
<td valign="top" align="center">67 (51.9)</td>
<td valign="top" align="center">88 (47.3)</td>
<td valign="top" align="center">56 (38.9)</td>
<td valign="top" align="center">0.087</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral artery disease</td>
<td valign="top" align="center">79 (17.2)</td>
<td valign="top" align="center">30 (22.2)</td>
<td valign="top" align="center">28 (13.8)</td>
<td valign="top" align="center">21 (17.4)</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">20 (15.5)</td>
<td valign="top" align="center">30 (16.1)</td>
<td valign="top" align="center">29 (20.1)</td>
<td valign="top" align="center">0.527</td>
</tr>
<tr>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">52 (11.3)</td>
<td valign="top" align="center">20 (14.8)</td>
<td valign="top" align="center">22 (10.8)</td>
<td valign="top" align="center">10 (8.3)</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">15 (11.6)</td>
<td valign="top" align="center">24 (12.9)</td>
<td valign="top" align="center">13 (9.0)</td>
<td valign="top" align="center">0.541</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">8 (1.7)</td>
<td valign="top" align="center">1 (0.7)</td>
<td valign="top" align="center">5 (2.5)</td>
<td valign="top" align="center">2 (1.7)</td>
<td valign="top" align="center">0.599</td>
<td valign="top" align="center">2 (1.6)</td>
<td valign="top" align="center">3 (1.6)</td>
<td valign="top" align="center">3 (2.1)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Cigarette smoker, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">225 (49.0)</td>
<td valign="top" align="center">72 (53.3)</td>
<td valign="top" align="center">92 (45.3)</td>
<td valign="top" align="center">61 (50.4)</td>
<td valign="top" align="center">0.331</td>
<td valign="top" align="center">65 (50.4)</td>
<td valign="top" align="center">93 (50.0)</td>
<td valign="top" align="center">67 (46.5)</td>
<td valign="top" align="center">0.769</td>
</tr>
<tr>
<td valign="top" align="left">NYHA, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.859</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.266</td>
</tr>
<tr>
<td valign="top" align="left">I&#x2009;&#x002B;&#x2009;II</td>
<td valign="top" align="center">278 (60.6)</td>
<td valign="top" align="center">87 (64.4)</td>
<td valign="top" align="center">121 (59.6)</td>
<td valign="top" align="center">70 (57.9)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">83 (64.3)</td>
<td valign="top" align="center">115 (61.8)</td>
<td valign="top" align="center">80 (55.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">III&#x2009;&#x002B;&#x2009;IV</td>
<td valign="top" align="center">181 (39.4)</td>
<td valign="top" align="center">48 (35.6)</td>
<td valign="top" align="center">82 (40.4)</td>
<td valign="top" align="center">51 (42.1)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">46 (35.7)</td>
<td valign="top" align="center">71 (38.2)</td>
<td valign="top" align="center">64 (44.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LVEF, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.602</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.920</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;40&#x0025;</td>
<td valign="top" align="center">5 (1.1)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3 (1.5)</td>
<td valign="top" align="center">2 (1.7)</td>
<td valign="top" align="center" rowspan="2"/>
<td valign="top" align="center">1 (0.8)</td>
<td valign="top" align="center">2 (1.1)</td>
<td valign="top" align="center">2 (1.4)</td>
<td valign="top" align="center" rowspan="2"/>
</tr>
<tr>
<td valign="top" align="left">40&#x0025;&#x2013;49&#x0025;</td>
<td valign="top" align="center">41 (8.9)</td>
<td valign="top" align="center">11 (8.1)</td>
<td valign="top" align="center">20 (9.9)</td>
<td valign="top" align="center">10 (8.3)</td>
<td valign="top" align="center">13 (10.1)</td>
<td valign="top" align="center">15 (8.1)</td>
<td valign="top" align="center">13 (9.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50&#x0025;</td>
<td valign="top" align="center">413 (90.2)</td>
<td valign="top" align="center">125 (92.6)</td>
<td valign="top" align="center">180 (88.7)</td>
<td valign="top" align="center">108 (90.0)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">115 (89.2)</td>
<td valign="top" align="center">169 (90.9)</td>
<td valign="top" align="center">129 (89.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">SYNTAX score, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.296</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.646</td>
</tr>
<tr>
<td valign="top" align="left">Low (0&#x2013;22)</td>
<td valign="top" align="center">66 (14.4)</td>
<td valign="top" align="center">14 (10.4)</td>
<td valign="top" align="center">33 (16.3)</td>
<td valign="top" align="center">19 (15.7)</td>
<td valign="top" align="center" rowspan="3"/>
<td valign="top" align="center">15 (11.7)</td>
<td valign="top" align="center">29 (15.6)</td>
<td valign="top" align="center">22 (15.3)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">Medium (23&#x2013;32)</td>
<td valign="top" align="center">254 (55.3)</td>
<td valign="top" align="center">80 (59.3)</td>
<td valign="top" align="center">103 (50.7)</td>
<td valign="top" align="center">71 (58.7)</td>
<td valign="top" align="center">72 (55.8)</td>
<td valign="top" align="center">98 (52.7)</td>
<td valign="top" align="center">84 (58.3)</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x2265;33)</td>
<td valign="top" align="center">139 (30.3)</td>
<td valign="top" align="center">41 (30.4)</td>
<td valign="top" align="center">67 (33.0)</td>
<td valign="top" align="center">31 (25.6)</td>
<td valign="top" align="center">42 (32.6)</td>
<td valign="top" align="center">59 (31.7)</td>
<td valign="top" align="center">38 (26.4)</td>
</tr>
<tr>
<td valign="top" align="left">EuroSCORE, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.244</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.904</td>
</tr>
<tr>
<td valign="top" align="left">Low (0&#x2013;2)</td>
<td valign="top" align="center">183 (39.9)</td>
<td valign="top" align="center">53 (39.3)</td>
<td valign="top" align="center">79 (38.9)</td>
<td valign="top" align="center">51 (42.2)</td>
<td valign="top" align="center" rowspan="3"/>
<td valign="top" align="center">52 (40.3)</td>
<td valign="top" align="center">74 (39.8)</td>
<td valign="top" align="center">57 (39.6)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">Medium (3&#x2013;5)</td>
<td valign="top" align="center">210 (45.8)</td>
<td valign="top" align="center">64 (47.4)</td>
<td valign="top" align="center">87 (42.9)</td>
<td valign="top" align="center">59 (48.8)</td>
<td valign="top" align="center">59 (45.7)</td>
<td valign="top" align="center">82 (44.1)</td>
<td valign="top" align="center">69 (47.9)</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x2265;6)</td>
<td valign="top" align="center">66 (14.4)</td>
<td valign="top" align="center">18 (13.3)</td>
<td valign="top" align="center">37 (18.2)</td>
<td valign="top" align="center">11 (9.1)</td>
<td valign="top" align="center">18 (14.0)</td>
<td valign="top" align="center">30 (16.1)</td>
<td valign="top" align="center">18 (12.5)</td>
</tr>
<tr>
<td valign="top" align="left">Lp(a) levels (mg/dL), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.103</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.051</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;30</td>
<td valign="top" align="center">328 (71.5)</td>
<td valign="top" align="center">103 (76.3)</td>
<td valign="top" align="center">147 (72.4)</td>
<td valign="top" align="center">78 (64.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">102 (79.1)</td>
<td valign="top" align="center">132 (71.0)</td>
<td valign="top" align="center">94 (65.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2265;30</td>
<td valign="top" align="center">131 (28.5)</td>
<td valign="top" align="center">32 (23.7)</td>
<td valign="top" align="center">56 (27.6)</td>
<td valign="top" align="center">43 (35.5)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">27 (20.9)</td>
<td valign="top" align="center">54 (29.0)</td>
<td valign="top" align="center">50 (34.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Antiplatelet therapy, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.838</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.781</td>
</tr>
<tr>
<td valign="top" align="left">Aspirin</td>
<td valign="top" align="center">151 (32.9)</td>
<td valign="top" align="center">45 (33.3)</td>
<td valign="top" align="center">68 (33.5)</td>
<td valign="top" align="center">38 (31.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">42 (32.6)</td>
<td valign="top" align="center">56 (30.1)</td>
<td valign="top" align="center">53 (36.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Aspirin&#x2009;&#x002B;&#x2009;Ticagrelor</td>
<td valign="top" align="center">159 (34.6)</td>
<td valign="top" align="center">50 (37.0)</td>
<td valign="top" align="center">65 (32.0)</td>
<td valign="top" align="center">44 (36.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">46 (35.7)</td>
<td valign="top" align="center">67 (36.0)</td>
<td valign="top" align="center">46 (31.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Ticagrelor</td>
<td valign="top" align="center">149 (32.5)</td>
<td valign="top" align="center">40 (29.6)</td>
<td valign="top" align="center">70 (34.5)</td>
<td valign="top" align="center">39 (32.2)</td>
<td valign="top" align="center"/>
<td valign="top" align="center">41 (31.8)</td>
<td valign="top" align="center">63 (33.9)</td>
<td valign="top" align="center">45 (31.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left" colspan="10">Medication at discharge, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Beta-blocker</td>
<td valign="top" align="center">416 (90.6)</td>
<td valign="top" align="center">130 (96.3)</td>
<td valign="top" align="center">181 (89.2)</td>
<td valign="top" align="center">105 (86.8)</td>
<td valign="top" align="center">0.055</td>
<td valign="top" align="center">123 (95.3)</td>
<td valign="top" align="center">166 (89.2)</td>
<td valign="top" align="center">127 (88.2)</td>
<td valign="top" align="center">0.132</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="center">274 (59.7)</td>
<td valign="top" align="center">96 (71.1)</td>
<td valign="top" align="center">116 (57.1)</td>
<td valign="top" align="center">62 (51.2)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">83 (64.3)</td>
<td valign="top" align="center">112 (60.2)</td>
<td valign="top" align="center">79 (54.9)</td>
<td valign="top" align="center">0.328</td>
</tr>
<tr>
<td valign="top" align="left">Statin</td>
<td valign="top" align="center">437 (95.2)</td>
<td valign="top" align="center">129 (95.6)</td>
<td valign="top" align="center">194 (95.6)</td>
<td valign="top" align="center">114 (94.2)</td>
<td valign="top" align="center">0.373</td>
<td valign="top" align="center">125 (96.9)</td>
<td valign="top" align="center">175 (94.1)</td>
<td valign="top" align="center">137 (95.1)</td>
<td valign="top" align="center">0.639</td>
</tr>
<tr>
<td valign="top" align="left" colspan="10">Surgical characteristics, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">On-pump</td>
<td valign="top" align="center">103 (22.4)</td>
<td valign="top" align="center">19 (14.1)</td>
<td valign="top" align="center">45 (22.2)</td>
<td valign="top" align="center">39 (32.2)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">16 (12.4)</td>
<td valign="top" align="center">42 (22.6)</td>
<td valign="top" align="center">45 (31.3)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">IMA user</td>
<td valign="top" align="center">383 (83.4)</td>
<td valign="top" align="center">107 (79.3)</td>
<td valign="top" align="center">170 (83.7)</td>
<td valign="top" align="center">106 (87.6)</td>
<td valign="top" align="center">0.198</td>
<td valign="top" align="center">109 (84.5)</td>
<td valign="top" align="center">153 (82.3)</td>
<td valign="top" align="center">121 (84.0)</td>
<td valign="top" align="center">0.849</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>ACEI, angiotensin-converting enzyme inhibitor; ACS, acute coronary syndrome; ARB, angiotensin receptor blocker; CCS, Canadian Cardiovascular Society; EuroSCORE, European system for cardiac operative risk evaluation; IMA, internal mammary artery; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association functional classification; SYNTAX, synergy between percutaneous coronary intervention with taxus and cardiac surgery; Lp(a), lipoprotein(a).</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The results of MACE-3 and MACE-5 yielded similar trends (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Compared with the baseline LDL-C &#x003C;1.8&#x2005;mmol/L group, the adjusted HR for MACE-3 was 0.82 (95&#x0025; CI, 0.51&#x2013;1.33) and 0.80 (95&#x0025; CI, 0.46&#x2013;1.37) for the LDL-C 1.8&#x2013;&#x003C;2.6 and &#x2265;2.6&#x2005;mmol/L groups, respectively, and the adjusted HR for MACE-5 was 0.86 (95&#x0025; CI, 0.58&#x2013;1.28) and 0.78 (95&#x0025; CI, 0.49&#x2013;1.25; all <italic>P</italic>&#x2009;&#x003E;&#x2009;0.05), respectively.</p>
</sec>
<sec id="s3b"><title>Postoperative LDL-C and clinical outcomes</title>
<p>According to the follow-up protocol, repeated measurement of LDL-C levels at 1, 3, 6, and every 12 months after CABG was accomplished. The average LDL-C value of each patient was calculated and the patients were stratified into three groups by referring to the same thresholds. The attainment of LDL-C target &#x003C;1.8&#x2005;mmol/L following CABG was accomplished in 129 (28.1&#x0025;) patients, 186 (40.5&#x0025;) achieved LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L, and 144 (31.4&#x0025;) remained with LDL-C &#x2265;2.6&#x2005;mmol/L. Most characteristics were comparable, except that patients with increased postoperative LDL-C were younger, lower male gender, and more associated with on-pump CABG (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). MACE-4 was reported in 18 (14.0&#x0025;) patients with LDL-C &#x003C;1.8&#x2005;mmol/L, 49 (26.3&#x0025;) with LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L, and 66 (45.8&#x0025;) with LDL-C &#x2265;2.6&#x2005;mmol/L. Compared with the postoperative LDL-C &#x003C;1.8&#x2005;mmol/L group, the risk of MACE-4 was higher for patients with LDL-C 1.8&#x2013;&#x003C;2.6 and &#x2265;2.6&#x2005;mmol/L. The crude HRs were 1.96 (95&#x0025; CI, 1.14&#x2013;3.86; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.015) and 3.86 (95&#x0025; CI, 2.29&#x2013;6.50; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). After adjusted for age, gender, comorbidities, baseline LDL-C, Lp(a), secondary prevention medication, on-pump surgery, and use of IMA, the HRs for MACE-4 occurrence were 1.92 (95&#x0025; CI, 1.12&#x2013;3.29; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.019) and 3.90 (95&#x0025; CI, 2.29&#x2013;6.64; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) for LDL-C 1.8&#x2013;&#x003C;2.6 and &#x2265;2.6&#x2005;mmol/L groups, when compared with the LDL-C &#x003C;1.8&#x2005;mmol/L group. Postoperative LDL-C &#x2265;2.6&#x2005;mmol/L was mainly associated with increased risk of MI and stroke (all <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05), but not in all-cause death and repeated .revascularization (all <italic>P</italic>&#x2009;&#x003E;&#x2009;0.05) compared with LDL-C &#x003C;1.8&#x2005;mmol/L (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Kaplan&#x2013;Meier curves of MACE-4 and each individual component among different postoperative LDL-C levels (mmol/L). Kaplan&#x2013;Meier estimates for freedom from (<bold>A</bold>) MACE-4, (<bold>B</bold>) all-cause death, (<bold>C</bold>) myocardial infarction, (<bold>D</bold>) stroke, and (<bold>E</bold>) repeated revascularization. LDL-C, low-density lipoprotein cholesterol; MACE-4, 4-point major adverse cardiovascular events.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g002.tif"/>
</fig>
<p>The results of MACE-3 and MACE-5 were similar (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). Compared with patients with postoperative LDL-C &#x003C;1.8&#x2005;mmol/L, the adjusted HR for MACE-3 was 1.86 (95&#x0025; CI, 1.00&#x2013;3.45; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.048) and 3.61 (95&#x0025; CI, 1.98&#x2013;6.58; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001) for patients with LDL-C 1.8&#x2013;&#x003C;2.6 and LDL-C &#x2265;2.6&#x2005;mmol/L; the adjusted HR for MACE-5 was 1.85 (95&#x0025; CI, 1.09&#x2013;3.14; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.023) and 3.65 (95&#x0025; CI, 2.17&#x2013;6.14; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001), respectively.</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Kaplan&#x2013;Meier curves of MACE-4 and MACE-5 among different postoperative LDL-C levels (mmol/L). Kaplan&#x2013;Meier estimates for freedom from (<bold>A</bold>) MACE-3 and (<bold>B</bold>) MACE-5. LDL-C, low-density lipoprotein cholesterol; MACE-4, 4-point major adverse cardiovascular events; MACE-3, 3-point major adverse cardiovascular events; MACE-5, 5-point major adverse cardiovascular events.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g003.tif"/>
</fig>
</sec>
<sec id="s3c"><title>Lp(a) and clinical outcomes</title>
<p>In this study cohort, Lp(a) ranged from 1 to 138&#x2005;mg/dL, with a median level of 17&#x2005;mg/dL (interquartile range, 9&#x2013;31&#x2005;mg/dL). The distribution of Lp(a) was skewed and Lp(a) &#x2265;30&#x2005;mg/dL was identified in 131 (28.5&#x0025;) patients (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>). Most baseline characteristics between the two groups were comparable, except that patients with Lp(a) &#x2265;30&#x2005;mg/dL had a lower prevalence of hypertension (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). MACE-4 was detected in 47 patients in the Lp(a) &#x2265;30&#x2005;mg/dL group and in 86 in the Lp(a) &#x003C;30&#x2005;mg/dL group. As shown by the Kaplan&#x2013;Meier curves, compared with the Lp(a) &#x003C;30&#x2005;mg/dL group, patients with Lp(a) &#x2265;30&#x2005;mg/dL had a higher incidence of MACE-4 (35.9&#x0025; vs. 26.2&#x0025;; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.024) with a crude HR of 1.50 (95&#x0025; CI, 1.05&#x2013;2.14; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.025) (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>). The adjusted HR (aHR) (adjusted for age, gender, comorbidities, baseline LDL-C, secondary prevention medication, on-pump surgery, and use of IMA) was 1.52 (95&#x0025; CI, 1.06&#x2013;2.18; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.022) for MACE-4. The increased risk of MACE-4 was mainly due to the increased risk of MI in the Lp(a) &#x2265;30&#x2005;mg/dL group (22.1&#x0025; vs. 13.4&#x0025;, HR&#x2009;&#x003D;&#x2009;1.73, 95&#x0025; CI, 1.09&#x2013;2.77; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.021). No significant difference was found concerning the risk of all-cause death (11.5&#x0025; vs. 6.7&#x0025;, HR&#x2009;&#x003D;&#x2009;1.77, 95&#x0025; CI, 0.92&#x2013;3.42; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.087), stroke (5.3&#x0025; vs. 6.1&#x0025;, HR&#x2009;&#x003D;&#x2009;0.89, 95&#x0025; CI, 0.38&#x2013;2.10; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.787), and repeated revascularization (4.6&#x0025; vs. 5.5&#x0025;, HR&#x2009;&#x003D;&#x2009;0.85, 95&#x0025; CI, 0.34&#x2013;2.15; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.738) between the two groups (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Distribution of Lp(a). Lp(a), lipoprotein(a).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g004.tif"/>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Kaplan&#x2013;Meier curves of MACE-4 and each individual component different baseline Lp(a) levels (mmol/L). Kaplan&#x2013;Meier estimates for freedom from (<bold>A</bold>) MACE-4, (<bold>B</bold>) all-cause death, (<bold>C</bold>) myocardial infarction, (<bold>D</bold>) stroke, and (<bold>E</bold>) repeated revascularization. Lp(a), lipoprotein(a); MACE-4, 4-point major adverse cardiovascular events.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g005.tif"/>
</fig>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Baseline characteristics of the study population stratified by baseline Lp(a) levels.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">Lp(a) &#x003C;30&#x2005;mg/dL (<italic>n</italic>&#x2009;&#x003D;&#x2009;328)</th>
<th valign="top" align="center">Lp(a) &#x2265;30&#x2005;mg/dL (<italic>n</italic>&#x2009;&#x003D;&#x2009;131)</th>
<th valign="top" align="center"><italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years, mean (SD)</td>
<td valign="top" align="center">63.4 (8.3)</td>
<td valign="top" align="center">62.8 (7.8)</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">267 (81.4)</td>
<td valign="top" align="center">107 (81.7)</td>
<td valign="top" align="center">0.945</td>
</tr>
<tr>
<td valign="top" align="left">Clinical status, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.605</td>
</tr>
<tr>
<td valign="top" align="left">CCS</td>
<td valign="top" align="center">111 (33.8)</td>
<td valign="top" align="center">48 (36.6)</td>
<td valign="top" align="center" rowspan="2"/>
</tr>
<tr>
<td valign="top" align="left">ACS</td>
<td valign="top" align="center">217 (66.2)</td>
<td valign="top" align="center">83 (63.4)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Medical history, <italic>n</italic> (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Myocardial infarction</td>
<td valign="top" align="center">96 (29.3)</td>
<td valign="top" align="center">47 (35.9)</td>
<td valign="top" align="center">0.167</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">260 (79.3)</td>
<td valign="top" align="center">88 (67.2)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">158 (48.2)</td>
<td valign="top" align="center">53 (40.5)</td>
<td valign="top" align="center">0.134</td>
</tr>
<tr>
<td valign="top" align="left">Peripheral artery disease</td>
<td valign="top" align="center">54 (16.5)</td>
<td valign="top" align="center">25 (19.1)</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">39 (11.9)</td>
<td valign="top" align="center">13 (9.9)</td>
<td valign="top" align="center">0.548</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">6 (1.8)</td>
<td valign="top" align="center">2 (1.5)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Cigarette smoker, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center">158 (48.2)</td>
<td valign="top" align="center">67 (51.2)</td>
<td valign="top" align="center">0.565</td>
</tr>
<tr>
<td valign="top" align="left">NYHA, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.599</td>
</tr>
<tr>
<td valign="top" align="left">I&#x2009;&#x002B;&#x2009;II</td>
<td valign="top" align="center">203 (61.9)</td>
<td valign="top" align="center">75 (57.3)</td>
<td valign="top" align="center" rowspan="2"/>
</tr>
<tr>
<td valign="top" align="left">III&#x2009;&#x002B;&#x2009;IV</td>
<td valign="top" align="center">125 (38.1)</td>
<td valign="top" align="center">56 (42.7)</td>
</tr>
<tr>
<td valign="top" align="left">LVEF, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.636</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;40&#x0025;</td>
<td valign="top" align="center">3 (0.9)</td>
<td valign="top" align="center">2 (1.5)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">40&#x0025;&#x2013;49&#x0025;</td>
<td valign="top" align="center">27 (8.2)</td>
<td valign="top" align="center">14 (10.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50&#x0025;</td>
<td valign="top" align="center">298 (90.9)</td>
<td valign="top" align="center">115 (87.8)</td>
</tr>
<tr>
<td valign="top" align="left">SYNTAX score, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.820</td>
</tr>
<tr>
<td valign="top" align="left">Low (0&#x2013;22)</td>
<td valign="top" align="center">46 (14.0)</td>
<td valign="top" align="center">20 (15.3)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">Medium (23&#x2013;32)</td>
<td valign="top" align="center">180 (54.9)</td>
<td valign="top" align="center">74 (56.5)</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x2265;33)</td>
<td valign="top" align="center">102 (31.1)</td>
<td valign="top" align="center">37 (28.2)</td>
</tr>
<tr>
<td valign="top" align="left">EuroSCORE, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.470</td>
</tr>
<tr>
<td valign="top" align="left">Low (0&#x2013;2)</td>
<td valign="top" align="center">133 (40.6)</td>
<td valign="top" align="center">50 (38.2)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">Medium (3&#x2013;5)</td>
<td valign="top" align="center">152 (46.3)</td>
<td valign="top" align="center">58 (44.3)</td>
</tr>
<tr>
<td valign="top" align="left">High (&#x2265;6)</td>
<td valign="top" align="center">43 (13.1)</td>
<td valign="top" align="center">23 (17.6)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline LDL-C levels (mmol/L), <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.103</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;1.8</td>
<td valign="top" align="center">103 (31.4)</td>
<td valign="top" align="center">32 (24.3)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">1.8&#x2013;&#x003C;2.6</td>
<td valign="top" align="center">147 (44.8)</td>
<td valign="top" align="center">56 (43.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;2.6</td>
<td valign="top" align="center">78 (23.8)</td>
<td valign="top" align="center">43 (32.8)</td>
</tr>
<tr>
<td valign="top" align="left">Antiplatelet therapy, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.547</td>
</tr>
<tr>
<td valign="top" align="left">Aspirin</td>
<td valign="top" align="center">112 (34.2)</td>
<td valign="top" align="center">39 (29.8)</td>
<td valign="top" align="center" rowspan="3"/>
</tr>
<tr>
<td valign="top" align="left">Aspirin&#x2009;&#x002B;&#x2009;ticagrelor</td>
<td valign="top" align="center">114 (34.8)</td>
<td valign="top" align="center">45 (34.4)</td>
</tr>
<tr>
<td valign="top" align="left">Ticagrelor</td>
<td valign="top" align="center">102 (31.1)</td>
<td valign="top" align="center">47 (35.9)</td>
</tr>
<tr>
<td valign="top" align="left">Medication at discharge, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Beta-blocker</td>
<td valign="top" align="center">295 (89.9)</td>
<td valign="top" align="center">121 (92.4)</td>
<td valign="top" align="center">0.382</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARB</td>
<td valign="top" align="center">201 (61.3)</td>
<td valign="top" align="center">73 (55.7)</td>
<td valign="top" align="center">0.268</td>
</tr>
<tr>
<td valign="top" align="left">Statin</td>
<td valign="top" align="center">310 (94.5)</td>
<td valign="top" align="center">127 (96.9)</td>
<td valign="top" align="center">0.251</td>
</tr>
<tr>
<td valign="top" align="left">Surgical characteristics, <italic>n</italic> (&#x0025;)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">On-pump</td>
<td valign="top" align="center">73 (22.3)</td>
<td valign="top" align="center">30 (22.9)</td>
<td valign="top" align="center">0.699</td>
</tr>
<tr>
<td valign="top" align="left">IMA user</td>
<td valign="top" align="center">278 (84.8)</td>
<td valign="top" align="center">105 (80.2)</td>
<td valign="top" align="center">0.231</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>ACEI, angiotensin-converting enzyme inhibitor; ACS, acute coronary syndrome; ARB, angiotensin receptor blocker; CCS, Canadian Cardiovascular Society; EuroSCORE, European system for cardiac operative risk evaluation; IMA, internal mammary artery; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association functional classification; SYNTAX, synergy between percutaneous coronary intervention with taxus and cardiac surgery; Lp(a), lipoprotein(a); LDL-C, low-density lipoprotein cholesterol.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Similarly, Lp(a) &#x2265;30&#x2005;mg/dL was associated with increased risk of MACE-3 (29.0&#x0025; vs. 19.5&#x0025;, aHR&#x2009;&#x003D;&#x2009;1.62, 95&#x0025; CI, 1.08&#x2013;2.44; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.019) and MACE-5 (35.9&#x0025; vs. 26.8&#x0025;, aHR&#x2009;&#x003D;&#x2009;1.49, 95&#x0025; CI, 1.04&#x2013;2.14; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.028) (<xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref>).</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Kaplan&#x2013;Meier curves of MACE-3 and MACE-5 between different baseline Lp(a) levels (mmol/L). Kaplan&#x2013;Meier estimates for freedom from (<bold>A</bold>) MACE-3 and (<bold>B</bold>) MACE-5. Lp(a), lipoprotein(a); MACE-3, 3-point major adverse cardiovascular events; MACE-5, 5-point major adverse cardiovascular events.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1103681-g006.tif"/>
</fig>
</sec>
<sec id="s3d"><title>1-year statin adherence and clinical outcomes</title>
<p>Information about statin use was updated every 3&#x2005;months during the first year after CABG. A total of 437 (95.2&#x0025;) patients were reported to be dispensed with statins constantly and 22 patients discontinued the use of statin. Baseline characteristics between the two groups were compared. Poor 1-year statin adherence was observed more in patients with increased postoperative LDL-C levels, receiving dual antiplatelet therapy, and less use of IMA (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). MACE-4 occurred in 10 (45.5&#x0025;) patients with poor adherence and 123 (28.1&#x0025;) patients with good adherence. The crude HR for MACE-4 was 2.03 (95&#x0025; CI, 1.07&#x2013;3.88; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.031) (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>). Poor 1-year statin adherence was associated with increased MACE-4 events with an adjusted HR of 2.32 (95&#x0025; CI, 1.19&#x2013;4.52; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.013). Increased risk of MACE-4 was mainly due to the increased risk of all-cause death (22.7&#x0025; vs. 7.3&#x0025;, HR&#x2009;&#x003D;&#x2009;3.92, 95&#x0025; CI, 1.52&#x2013;10.09; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.005) (<xref ref-type="sec" rid="s11">Supplementary Figure S2</xref>). Poor 1-year statin adherence was also related with enhanced risk of MACE-5 (50.0&#x0025; vs. 28.4&#x0025;, aHR&#x2009;&#x003D;&#x2009;2.62, 95&#x0025; CI, 1.38&#x2013;4.98; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.003), but not with MACE-3 (31.8&#x0025; vs. 21.7&#x0025;, aHR&#x2009;&#x003D;&#x2009;2.04, 95&#x0025; CI, 0.93&#x2013;4.51; <italic>P</italic>&#x2009;&#x003D;&#x2009;0.077) (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>Our main findings delineated that postoperative LDL-C was significantly associated with 5-year MACE, but no relationship was observed between baseline concentration and MACE. In addition, baseline Lp(a) &#x2265;30&#x2005;mg/dl was also independently related with increased risk of 5-year MACE. Reinforcing routine measurement of Lp(a) and postoperative LDL-C, promoting the attainment of LDL-C target, and prescribing combined lipid-lowering therapy aiming at multiple pathways should be encouraged in CABG patients.</p>
<p>CABG surgery is widely used to effectively improve prognosis in patients with complex and severe CAD; however, patients following CABG are still susceptible to high risk of subsequent adverse events when compared with the general population (<xref ref-type="bibr" rid="B21">21</xref>). It was reported that within 5 years after CABG, 20&#x0025;&#x2013;30&#x0025; patients experienced MACE and 15&#x0025; died (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Due to the high residual risk of cardiovascular morbidity and mortality, implantation and optimization of postoperative secondary prevention is highly recommended (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Management of lipid abnormalities remains one of the primary goals in secondary prevention, for the reason that hyperlipidemia is associated with increased future cardiovascular events and graft deterioration (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Despite the benefit of lipid-lowering therapy, its underuse is common and compliance with lipid-lowering medication continues to decline over time (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Compared with patients receiving PCI, fulfillment of statin prescription and maintenance of statin use were markedly unsatisfactory in the CABG population (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Meanwhile, the overall attainment of LDL-C target in the secondary prevention setting was low, which implied a huge gap between real-world data and guideline recommendation (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>In this CABG cohort, 40.5&#x0025; of the patients with LDL-C 1.8&#x2013;&#x003C;2.6&#x2005;mmol/L and 31.4&#x0025; with LDL-C still remaining &#x2265;2.6&#x2005;mmol/L were proved to be encountered with increased risk of MACE. Meanwhile, only 28.1&#x0025; of patients achieved the goal of LDL-C &#x003C;1.8&#x2005;mmol/L during the 5-year follow-up period. Likewise, under-implementation of the guideline recommended LDL-C target in the CABG population is common. Results from 1-year follow-up of a Middle-Eastern cohort showed that 59.3&#x0025; and 29&#x0025; of CABG patients attained LDL-C targets of &#x003C;1.8&#x2005;mmol/L and 1.4&#x2005;mmol/L, respectively (<xref ref-type="bibr" rid="B31">31</xref>). A most recent study from Australia with a median follow-up of 483 days reported that the attainment of LDL-C target &#x003C;1.8&#x2005;mmol/L was 47.7&#x0025;and that of &#x003C;1.4&#x2005;mmol/L was 24.4&#x0025; (<xref ref-type="bibr" rid="B32">32</xref>). Another retrospective analysis of 1,230 CABG patients with a median follow-up period of 101 months showed that 44&#x0025; of the patients reached the target of &#x003C;1.8&#x2005;mmol/L (<xref ref-type="bibr" rid="B33">33</xref>). A single-center study with a median follow-up time of 12.5 years from Hong Kong had similar results that less than 25&#x0025; of patients with statins were able to achieve the LDL-C target (<xref ref-type="bibr" rid="B34">34</xref>). Thus, there was much room for improvement of postoperative LDL-C control in CABG patients.</p>
<p>Lipid target including LDL-C was not only a treatment goal for lipid-lowering therapy but also a predictive factor for risk stratification in patients following CABG. A large randomized controlled study recruited 10,001 patients composed of 4,654 patients with a history of CABG and found that aggressive LDL reduction to a mean of 2.0&#x2005;mmol/L was associated with reduced MACE (nonfatal MI, cardiac death, resuscitated cardiac arrest, or stroke) of 27&#x0025; compared with patients who underwent standard LDL-C reduction to a mean of 2.6&#x2005;mmol/L, and lowered the need for revascularization rate by 30&#x0025; (<xref ref-type="bibr" rid="B35">35</xref>). Zafrir et al. found that uncontrolled postoperative LDL-C was independently associated with decreased survival, compared with LDL-C &#x003C;1.8&#x2005;mmol/L, and the HR for long-term mortality was 1.33 and 1.97 for patients with LDL-C 1.8&#x2013;2.6&#x2005;mmol/L and &#x003E;2.6&#x2005;mmol/L, respectively (<xref ref-type="bibr" rid="B33">33</xref>). A recent meta-analysis proved that intensive LDL-C reduction was associated with 14&#x0025; relative reduction in all-cause deaths and 25&#x0025; relative reduction in CV deaths in CABG patients, which highlighted mortality benefits (<xref ref-type="bibr" rid="B36">36</xref>). Altogether, exposure to increased postoperative LDL-C was correlated with higher cardiovascular risk.</p>
<p>Results from several observational studies proved that statin use was associated with improved survival and reduced MACE occurrence after CABG (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). In the present analysis, we focused on exploring the influence of statin adherence and found that poor adherence during the first year was correlated with increased risk of MACE, which suggested that CABG patients could benefit from long-term continuous statin use. With the development of non-statin lipid-lowering therapy, we had entered into a new era of hyperlipidemia management. It had been proved that patients with CABG history derive larger absolute reductions in MACE and death from PCSK9 inhibitor (<xref ref-type="bibr" rid="B9">9</xref>). Whether early initiation of non-statin LDL-C-targeted lipid-lowering therapy could further reduce subsequent cardiovascular risk and vein graft disease in patients with recent CABG procedure warrants further investigation.</p>
<p>Although LDL-C remained the prime target and statins continued to be the mainstay of secondary prevention, the attribution of Lp(a) to cardiovascular risk was also established. Results from a meta-analysis proved that patients with confirmed CVD and raised Lp(a) concentration were at substantial residual risk, even while taking statins, and Lp(a)-targeted lowering therapy might succeed in reducing Lp(a)-mediated risk (<xref ref-type="bibr" rid="B17">17</xref>). Lp(a) was underestimated and infrequently measured in the CABG population. Results from a prospective single-center research with a mean follow-up duration of 8.5 years showed that Lp(a) &#x2265;30&#x2005;mg/dL was identified in 39&#x0025; of the CABG subjects and Lp(a) &#x2265;30&#x2005;mg/dL was significantly associated with greater risk of the composite outcome of CV death and nonfatal MI with HR&#x2009;&#x003D;&#x2009;2.98 compared with patients with Lp(a) &#x003C;30&#x2005;mg/dL (<xref ref-type="bibr" rid="B39">39</xref>). In the DACAB trial, 92&#x0025; of the CABG population had Lp(a) tested and 28.5&#x0025; of them had Lp(a) &#x2265;30&#x2005;mg/dL. We observed that patients with Lp(a) &#x2265;30&#x2005;mg/dL had a greater risk for the 5-year MACE occurrence. Longer follow-up duration and marked Lp(a) variations between ethnic groups might lead to disparity of these results. In addition, it was reported that Lp(a) accumulation in graft vessel contributed to early occlusion of vein grafts and the adoption of lipoprotein apheresis significantly improved vein graft patency during the first year after CABG (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B40">40</xref>). In addition, a large meta-analysis indicated that most statins may increase Lp(a) by an average of 8&#x0025;&#x2013;24&#x0025; or 11&#x0025; increase in the geometric mean of Lp(a) (<xref ref-type="bibr" rid="B41">41</xref>). The current research highlighted that in order to better predict residual risk in CABG patients, use of LDL-C as a single biomarker might not be appropriate. Elevated Lp(a) levels contributed to residual risk in the CABG population; thus, new targeted therapy could potentially mitigate future cardiovascular events.</p>
<sec id="s4a"><title>Study limitations</title>
<p>There were several limitations in our research that should be taken into account. First, due to prospective observational study essence, bias could not be avoided and additional confounding factors might not be detected and adjusted, but our research was based on a well-conducted randomized trial, and LDL-C and Lp(a) levels were prospectively collected. Second, we did not evaluate the long-term adherence of statins and did not investigate the utilization of ezetimibe or PCSK9 inhibitor during the follow-up, but statin monotherapy predominated as the mode of lipid management in this cohort and the first PCSK9 inhibitor was not approved by the Chinese CFDA until 2018. Third, Lp(a) was reported in mass concentration instead of particle concentration, which might lead to over- or underestimation of the true Lp(a) burden due to the size heterogeneity of the apo(a) component. Fourth, other lipid profiles including triglyceride levels were not collected and investigated in this current analysis. Fifth, this secondary analysis was based on the Chinese population; a cautious interpretation is warranted when the results were generalized to other ethnic groups.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>Exposure to uncontrolled postoperative LDL-C or high Lp(a) was associated with an increased risk of 5-year MACE after CABG. More stringent management of LDL-C and promotion of statin adherence are essential. Combined lipid-lowering therapy incorporating novel agents targeted at new causal lipoproteins merits further research.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>All data that underlie the results reported in this article will be provided upon reasonable request. Requests to access these datasets should be directed to the corresponding author.</p>
</sec>
<sec id="s7"><title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of the Ruijin Hospital, Shanghai Jiaotong University School of Medicine. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8"><title>Author contributions</title>
<p>Conception and design: YPZ and QY. Data collection: YPZ, QX, HL, JH, RW, YS, and YZZ. Data analysis and interpretation: WZ, QY, and YPZ. Manuscript writing: QY, QX HL, and YPZ. Critical reading and revision: all authors. Administrative support: QZ. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>Our work was supported by a grant from the Shanghai Jiao Tong University School of Medicine (DLY201802).</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1103681/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1103681/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Datasheet1.pdf"/>
</supplementary-material>
<supplementary-material id="SD2" content-type="local-data">
<media mimetype="application" mime-subtype="pdf" xlink:href="Table1.pdf"/>
</supplementary-material>
</sec>
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