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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.2023.1102717</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Ticagrelor vs. clopidogrel for coronary microvascular dysfunction in patients with STEMI: a meta-analysis of randomized controlled trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Yike</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1990805/overview"/></contrib>
<contrib contrib-type="author"><name><surname>Ye</surname><given-names>Zixiang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1569970/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Guo</surname><given-names>Ziyu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Xie</surname><given-names>Enmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1511920/overview" /></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Xuecheng</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Mei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Peizhao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Yu</surname><given-names>Changan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Gao</surname><given-names>Yanxiang</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1328938/overview" /></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zheng</surname><given-names>Jingang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences)</addr-line>, <institution>Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>Peking University China-Japan Friendship School of Clinical Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>China-Japan Friendship Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Tommaso Gori, University Medical Centre, Johannes Gutenberg University Mainz, Germany</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Luca Paolucci, Clinica Mediterranea, Italy Zvonimir Ostojic, University Hospital Centre Zagreb, Croatia</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jingang Zheng <email>mdjingangzheng@163.com</email> Yanxiang Gao <email>gaoyx1980@163.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>18</day><month>05</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1102717</elocation-id>
<history>
<date date-type="received"><day>19</day><month>11</month><year>2022</year></date>
<date date-type="accepted"><day>17</day><month>04</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Li, Ye, Guo, Xie, Wang, Zhao, Liu, Li, Yu, Gao and Zheng.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Li, Ye, Guo, Xie, Wang, Zhao, Liu, Li, Yu, Gao and Zheng</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>Approximately half of ST-segment elevation myocardial infarction (STEMI) patients who undergo revascularization present with coronary microvascular dysfunction. Dual antiplatelet therapy, consisting of aspirin and a P2Y12 inhibitor (e.g., clopidogrel or ticagrelor), is recommended to reduce rates of cardiovascular events after STEMI. The present study performed a pooled analysis of randomized controlled trials (RCTs) to compare effects of ticagrelor and clopidogrel on coronary microcirculation dysfunction in STEMI patients who underwent the primary percutaneous coronary intervention.</p>
</sec><sec><title>Methods</title>
<p>The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for eligible RCTs up to September 2022, with no language restriction. Coronary microcirculation indicators included the corrected thrombolysis in myocardial infarction (TIMI) frame count (cTFC), myocardial blush grade (MBG), TIMI myocardial perfusion grade (TMPG), coronary flow reserve (CFR), and index of microcirculatory resistance (IMR).</p>
</sec><sec><title>Results</title>
<p>Seven RCTs that included a total of 957 patients (476 who were treated with ticagrelor and 481 who were treated with clopidogrel) were included. Compared with clopidogrel, ticagrelor better accelerated microcirculation blood flow [cTFC&#x2009;&#x003D;&#x2009;&#x2212;2.40, 95&#x0025; confidence interval (CI): &#x2212;3.38 to &#x2212;1.41, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001] and improved myocardial perfusion [MBG&#x2009;&#x003D;&#x2009;3, odds ratio (OR)&#x2009;&#x003D;&#x2009;1.99, 95&#x0025; CI: 1.35 to 2.93, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001; MBG&#x2009;&#x2265;&#x2009;2, OR&#x2009;&#x003D;&#x2009;2.57, 95&#x0025; CI: 1.61 to 4.12, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001].</p>
</sec><sec><title>Conclusions</title>
<p>Ticagrelor has more benefits for coronary microcirculation than clopidogrel in STEMI patients who undergo the primary percutaneous coronary intervention. However, recommendations for which P2Y12 receptor inhibitor should be used in STEMI patients should be provided according to results of studies that investigate clinical outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ST-elevation myocardial infarction</kwd>
<kwd>ticagrelor</kwd>
<kwd>clopidogrel</kwd>
<kwd>coronary microcirculation dysfunction</kwd>
<kwd>meta-analysis</kwd>
</kwd-group><contract-num rid="cn001">2022-YJXBF-04-03</contract-num><contract-num rid="cn002">2022-NHLHCRF-YSPY-01</contract-num><contract-num rid="cn003">2022-1-4062</contract-num><contract-num rid="cn004">82270352</contract-num><contract-sponsor id="cn001">Beijing Research Ward Construction Clinical Research</contract-sponsor><contract-sponsor id="cn002">National High Level Hospital Clinical Research</contract-sponsor><contract-sponsor id="cn003">Capital&#x0027;s Founds for Health Improvement and Research</contract-sponsor><contract-sponsor id="cn004">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor><counts>
<fig-count count="5"/>
<table-count count="2"/><equation-count count="0"/><ref-count count="43"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Coronary Artery Disease</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>According to the World Health Organization, ischemic heart disease remained the leading cause of death globally in 2019, and myocardial infarction (MI) was a major threat (<xref ref-type="bibr" rid="B1">1</xref>). The primary percutaneous coronary intervention (PCI) is the dominant reperfusion strategy for ST-segment elevation myocardial infarction (STEMI) patients (<xref ref-type="bibr" rid="B2">2</xref>). Although STEMI patients received timely reperfusion therapy and the recommended drugs, the 6-month mortality rate still reached 5.3&#x0025; in 2015 (<xref ref-type="bibr" rid="B3">3</xref>). Al-Lamee et al. (<xref ref-type="bibr" rid="B4">4</xref>) reported that &#x223C;32&#x0025; of STEMI patients who did not receive myocardial perfusion after PCI had poorer prognoses than patients who received complete reperfusion. The no-flow phenomenon is described as the inability to reperfuse a region of the myocardium despite the reopening of an infarct-related artery and is an independent predictor of death and MI (<xref ref-type="bibr" rid="B5">5</xref>). Coronary microcirculation is known to provide 95&#x0025; of blood flow resistance, suggesting that coronary microcirculation is crucial in myocardial perfusion (<xref ref-type="bibr" rid="B6">6</xref>). Some studies suggested that the no-flow phenomenon is related to microvascular obstruction, spasm, microthrombotic embolization, and reperfusion injury (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>). Furthermore, some studies found that platelets play an important role in poor reperfusion, including platelet aggregation, the formation of microthrombi in microvessels, and the release of vasoconstrictors, such as thromboxane A2 (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Antiplatelet therapy is the principal treatment strategy for acute coronary syndrome (ACS), in addition to timely revascularization (<xref ref-type="bibr" rid="B9">9</xref>). The P2Y12 receptor inhibitors ticagrelor and clopidogrel are recommended to decrease the primary composite outcome of death from cardiovascular causes, nonfatal MI, and stroke (<xref ref-type="bibr" rid="B10">10</xref>). Several experimental studies recently suggested that ticagrelor is superior to clopidogrel in patients post-PCI in terms of improving microvascular function. However, other trials found no difference between ticagrelor and clopidogrel (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Therefore, we conducted an analysis of randomized controlled trials (RCTs) and compared improvements in coronary microcirculation in STEMI patients who were treated with ticagrelor <italic>vs</italic>. clopidogrel.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Methods</title>
<p>We conducted a meta-analysis according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (<xref ref-type="bibr" rid="B13">13</xref>). The analysis plan was registered with the International Prospective Register of Systematic Reviews (PROSPERO, CRD42021284263).</p>
<sec id="s2a"><title>Data sources and search strategy</title>
<p>We searched for all published RCTs in the PubMed, Embase, Web of Science, and Cochrane Library databases from the databases&#x0027; inception to September 2022. To ensure all relevant studies were included, we used combinations of the following keywords: <italic>ticagrelor</italic>, <italic>clopidogrel</italic>, <italic>microcirculation</italic>, <italic>microvascular</italic>, <italic>blood flow</italic>, <italic>coronary flow</italic>, <italic>myocardial perfusion</italic>, <italic>coronary circulation</italic>, and <italic>reperfusion</italic>. We placed no restrictions on published year, language, or article type. The detailed search strategy is shown in <xref ref-type="sec" rid="s9">Supplementary Table S1</xref>. Two authors performed the study selection independently, and a third author resolved any disagreements.</p>
</sec>
<sec id="s2b"><title>Inclusion and exclusion criteria</title>
<p>We included trials in the meta-analysis when they met the following criteria: (a) the study was an RCT, (b) ticagrelor and clopidogrel treatment were both administered, and the medications were compared with each other, (c) individuals who were studied were diagnosed with STEMI and treated with PCI, and (d) the publication reported information about endpoints that are associated with microcirculation, measured <italic>via</italic> invasive methods, including corrected thrombolysis in myocardial infarction (TIMI) frame count (cTFC), myocardial blush grade (MBG), TIMI myocardial perfusion grade (TMPG), coronary flow reserve (CFR), and index of microcirculatory resistance (IMR). We excluded reviews, meta-analyses, meeting abstracts, nonclinical studies, case reports, and duplicate literature. If indicators of microcirculation were reported in a single study but did not exist in other studies, then we removed the single study.</p>
</sec>
<sec id="s2c"><title>Data extraction and quality assessment</title>
<p>Two authors independently reviewed the eligibility and methodological quality of each study using standardized data abstraction forms. A third author resolved disagreements. The following data were extracted: (a) basic information about the trial (i.e., author name, publication year, sample size, and intervention measures) and (b) baseline comorbidities, medication dose, and indicators of microcirculation.</p>
</sec>
<sec id="s2d"><title>Statistical analysis</title>
<p>The <italic>I</italic><sup>2</sup> test was used to evaluate heterogeneity. The random-effect model would be used if significant heterogeneity is considered. Apparent clinical heterogeneity was processed by a subgroup analysis, sensitivity analysis, or descriptive analysis alone. A fixed-effect model was used when no significant heterogeneity was found. A random-effect model was then used to test sensitivity. The pooled effects of continuous variables are reported as the mean difference (SMD) and 95&#x0025; confidence intervals (CIs). Dichotomous variables were estimated with odds ratios (ORs) and 95&#x0025; CIs. We investigated publication bias use Egger&#x0027;s test (<xref ref-type="bibr" rid="B14">14</xref>). We considered results with <italic>p&#x2009;</italic>&#x003C;&#x2009;0.05 as statistically significant. Further, trim and fill analyses were performed to detect the reliability of our estimate by detecting potential missing studies due to publication bias and recalculate the pooled prevalence by taking those missing studies into account (<xref ref-type="bibr" rid="B15">15</xref>). The statistical analyses were performed using STATA 14.0 software (Stata Corporation, Texas, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<sec id="s3a"><title>Literature search results</title>
<p>Initially, 1,380 records were found based on our search strategy, 200 of which were duplicates. After screening titles and abstracts, we removed 1,167 records based on the inclusion and exclusion criteria and retrieved 13 RCTs for full-text review (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Five publications were eliminated (one article investigated the ACS population but lacked detailed data on STEMI patients; four trials did not focus on STEMI patients; in one trial, indicators of microcirculation did not appear in other studies). We finally included seven RCTs (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>) in the present analysis.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flowchart of study selection.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1102717-g001.tif"/>
</fig>
</sec>
<sec id="s3b"><title>Study characteristics and quality assessment</title>
<p>The seven RCTs involved a total of 957 STEMI subjects that were included in the present analysis, of which 476 were assigned to ticagrelor and 481 were assigned to clopidogrel. <xref ref-type="table" rid="T1">Tables&#x00A0;1</xref>, <xref ref-type="table" rid="T2">2</xref> list the study characteristics and baseline patient demographics. The patients&#x0027; mean ages ranged from 55.1 to 69.1 years. Most patients were male and had hypertension and a history of smoking. A smaller proportion of the participants, with the exception of the study by Liu et al. (<xref ref-type="bibr" rid="B21">21</xref>), had diabetes mellitus. There was a similar proportion of patients with dyslipidemia in both groups, with the exception of the studies by Winter et al. (<xref ref-type="bibr" rid="B16">16</xref>) and Mont&#x0027;Alverne-Filho et al. (<xref ref-type="bibr" rid="B17">17</xref>). In these trials, loading doses of ticagrelor and clopidogrel were administered after the diagnosis of STEMI, and coronary microcirculation indices were calculated by analyzing coronary angiography images after PCI. Among these trials, five reported microvascular perfusion with cTFC and MBG, but one study of MBG did not report completely, and another lacked concrete data.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Major characteristics of included trials.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Trial</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">No. of patients on ticagrelor</th>
<th valign="top" align="center">No. of patients on clopidogrel</th>
<th valign="top" align="center">Ticagrelor dosing regimen</th>
<th valign="top" align="center">Clopidogrel dosing regimen</th>
<th valign="top" align="center">Microcirculation perfusion index</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Winter JL et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="left">Single-center, prospective, randomized, open-label, blinded-endpoint study</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">36</td>
<td valign="top" align="left">Loading 180&#x2005;mg, maintenance 90&#x2005;mg twice daily</td>
<td valign="top" align="left">Loading 600&#x2005;mg, maintenance 75&#x2005;mg daily</td>
<td valign="top" align="left">cTFC MBG</td>
</tr>
<tr>
<td valign="top" align="left">Mont&#x2019;Alverne-Filho JR et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">2016</td>
<td valign="top" align="left">Single-center, prospective, randomized, blinded-endpoint study</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">44</td>
<td valign="top" align="left">Loading 180&#x2005;mg</td>
<td valign="top" align="left">Loading 600&#x2005;mg</td>
<td valign="top" align="left">MBG</td>
</tr>
<tr>
<td valign="top" align="left">Li WH et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">Single-center, prospective, randomized, blinded-endpoint study</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">20</td>
<td valign="top" align="left">Loading 180&#x2005;mg</td>
<td valign="top" align="left">Loading 600&#x2005;mg</td>
<td valign="top" align="left">cTFC</td>
</tr>
<tr>
<td valign="top" align="left">Wang X et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Single-center, prospective, randomized, blinded-endpoint study</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">148</td>
<td valign="top" align="left">Loading 180&#x2005;mg, maintenance 90&#x2005;mg twice daily</td>
<td valign="top" align="left">Loading 600&#x2005;mg, maintenance 75&#x2005;mg daily</td>
<td valign="top" align="left">cTFC MBG</td>
</tr>
<tr>
<td valign="top" align="left">Cao B et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Single-center, prospective, randomized study</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">48</td>
<td valign="top" align="left">Loading 180&#x2005;mg, maintenance 90&#x2005;mg twice daily</td>
<td valign="top" align="left">Loading 600&#x2005;mg, maintenance 75&#x2005;mg daily</td>
<td valign="top" align="left">cTFC</td>
</tr>
<tr>
<td valign="top" align="left">Liu Y et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">Single-center, prospective, randomized study</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">100</td>
<td valign="top" align="left">Loading 180&#x2005;mg, maintenance 90&#x2005;mg twice daily</td>
<td valign="top" align="left">Loading 600&#x2005;mg, maintenance 75&#x2005;mg daily</td>
<td valign="top" align="left">MBG</td>
</tr>
<tr>
<td valign="top" align="left">Hamilos M et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="left">Multicenter, prospective, randomized, open-label, blinded-endpoint study</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">85</td>
<td valign="top" align="left">Loading 180&#x2005;mg, maintenance 90&#x2005;mg twice daily</td>
<td valign="top" align="left">Loading 300&#x2005;mg, maintenance 75&#x2005;mg daily</td>
<td valign="top" align="left">cTFC TMPG MBG</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>cTFC, corrected TIMI frame counts; MBG, myocardial blush grade; TMPG, TIMI myocardial perfusion grade.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Baseline characteristics of included trials.</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"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Trial</th>
<th valign="top" align="center" colspan="8">Ticagrelor and Clopidogrel</th>
</tr>
<tr>
<th valign="top" align="center">Patients</th>
<th valign="top" align="center">Age, Year (Mean&#x2009;&#x00B1;&#x2009;SD)</th>
<th valign="top" align="center">Males, &#x0025;</th>
<th valign="top" align="center">Hypertension, &#x0025;</th>
<th valign="top" align="center">Diabetes, &#x0025;</th>
<th valign="top" align="center">Dyslipidemia, &#x0025;</th>
<th valign="top" align="center">Current smoker, &#x0025;</th>
<th valign="top" align="center">Ejection fraction, &#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Winter JL et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">34/36</td>
<td valign="top" align="center">55.1&#x2009;&#x00B1;&#x2009;8.3/62.1&#x2009;&#x00B1;&#x2009;10.5</td>
<td valign="top" align="center">79.0/69.0</td>
<td valign="top" align="center">52.0/63.0</td>
<td valign="top" align="center">32.0/22.0</td>
<td valign="top" align="center">26.0/19.0</td>
<td valign="top" align="center">70.0/52.0</td>
<td valign="top" align="center">50.4&#x2009;&#x00B1;&#x2009;8.8/46.8&#x2009;&#x00B1;&#x2009;8.9</td>
</tr>
<tr>
<td valign="top" align="left">Mont&#x2019;Alverne-Filho JR et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">46/44</td>
<td valign="top" align="center">58.0/58.0</td>
<td valign="top" align="center">60.9/68.2</td>
<td valign="top" align="center">60.9/45.5</td>
<td valign="top" align="center">32.6/34.1</td>
<td valign="top" align="center">37.0/45.5</td>
<td valign="top" align="center">41.3/50.0</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Li WH et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">20/20</td>
<td valign="top" align="center">59.5&#x2009;&#x00B1;&#x2009;11.0/58.5&#x2009;&#x00B1;&#x2009;16.5</td>
<td valign="top" align="center">65.0/60.0</td>
<td valign="top" align="center">55.0/50.0</td>
<td valign="top" align="center">35.0/40.0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">60.0/50.0</td>
<td valign="top" align="center">48.5&#x2009;&#x00B1;&#x2009;7.8/53.3&#x2009;&#x00B1;&#x2009;6.0</td>
</tr>
<tr>
<td valign="top" align="left">Wang X et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">150/148</td>
<td valign="top" align="center">59.7&#x2009;&#x00B1;&#x2009;13.0/60.9&#x2009;&#x00B1;&#x2009;12.1</td>
<td valign="top" align="center">81.8/76.7</td>
<td valign="top" align="center">58.1/59.3</td>
<td valign="top" align="center">23.7/20.7</td>
<td valign="top" align="center">14.2/12.0</td>
<td valign="top" align="center">64.2/60.7</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Cao B et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">49/48</td>
<td valign="top" align="center">61.6&#x2009;&#x00B1;&#x2009;11.2/62.8&#x2009;&#x00B1;&#x2009;11.4</td>
<td valign="top" align="center">61.2/60.4</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">49.0&#x2009;&#x00B1;&#x2009;6.0/52.0&#x2009;&#x00B1;&#x2009;8.0</td>
</tr>
<tr>
<td valign="top" align="left">Liu Y et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">108/100</td>
<td valign="top" align="center">68.3&#x2009;&#x00B1;&#x2009;4.7/69.1&#x2009;&#x00B1;&#x2009;5.1</td>
<td valign="top" align="center">53.7/58.0</td>
<td valign="top" align="center">51.9/48.0</td>
<td valign="top" align="center">100.0/100.0</td>
<td valign="top" align="center">31.5/36.0</td>
<td valign="top" align="center">48.2/46.0</td>
<td valign="top" align="center">52.2&#x2009;&#x00B1;&#x2009;2.9/51.3&#x2009;&#x00B1;&#x2009;2.4</td>
</tr>
<tr>
<td valign="top" align="left">Hamilos M et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">69/85</td>
<td valign="top" align="center">58.0&#x2009;&#x00B1;&#x2009;10.0/58.0&#x2009;&#x00B1;&#x2009;9.0</td>
<td valign="top" align="center">84.0/90.0</td>
<td valign="top" align="center">26.0/32.0</td>
<td valign="top" align="center">15.0/14.0</td>
<td valign="top" align="center">21.0/24.0</td>
<td valign="top" align="center">65.0/62.0</td>
<td valign="top" align="center">48.0&#x2009;&#x00B1;&#x2009;8.0/47.8&#x2009;&#x00B1;&#x2009;8.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>SD, standard deviation.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A detailed bias assessment of the studies is summarized in <xref ref-type="sec" rid="s9">Supplementary Table S2</xref>. All of the studies were assessed as having low to moderate risk of bias based on the Cochrane risk-of-bias tool (<xref ref-type="sec" rid="s9">Supplementary Figure S1</xref>).</p>
</sec>
<sec id="s3c"><title>Meta-analysis results</title>
<sec id="s3c1"><title>cTFC</title>
<p>Five RCTs reported the outcome of cTFC. Because of significant heterogeneity, a random-effect model was used. As a result, there is no difference for cTFC between patients treated with ticagrelor and clopidogrel (&#x2212;0.32, 95&#x0025; CI: &#x2212;0.67 to 0.03, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.10; <italic>I</italic><sup>2&#x2009;</sup>&#x003D;&#x2009;76.5&#x0025;, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.002; <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). No publication bias was found (Egger&#x0027;s test, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.53). A funnel plot for cTFC is shown in <xref ref-type="sec" rid="s9">Supplementary Figure S2</xref>. Based on the sensitivity analysis (<xref ref-type="sec" rid="s9">Supplementary Figure S3</xref>), one study had significant heterogeneity (<xref ref-type="bibr" rid="B22">22</xref>). In this study, patients were treated with thrombolysis before PCI, which may affect coronary microcirculation that is measured during PCI. To reduce heterogeneity and bias, we excluded this study. Compared with clopidogrel, it concluded that the patients who were treated with ticagrelor had lower cTFC (&#x2212;0.40) after PCI (95&#x0025; CI: &#x2212;0.57 to &#x2212;0.22, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001; <italic>I</italic><sup>2&#x2009;</sup>&#x003D;&#x2009;47.5&#x0025;, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.13; <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>) in the random-effect model.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Forest plot of cTFC using random-effect model.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1102717-g002.tif"/>
</fig>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Forest plot of cTFC after removing one high-risk trial.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1102717-g003.tif"/>
</fig>
</sec>
<sec id="s3c2"><title>Incidence of MBG&#x2009;&#x003D;&#x2009;3</title>
<p>Three trials reported the incidence of MBG&#x2009;&#x003D;&#x2009;3. A significant publication bias was evident following the Egger&#x0027;s test (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.04). Compared with clopidogrel, ticagrelor before PCI was associated with a significantly higher rate of MBG&#x2009;&#x003D;&#x2009;3 (fixed-effect model: OR&#x2009;&#x003D;&#x2009;1.99; 95&#x0025; CI: 1.35 to 2.93, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001; <italic>I</italic><sup>2&#x2009;</sup>&#x003D;&#x2009;0&#x0025;, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.71; <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>; and random-effect model: OR&#x2009;&#x003D;&#x2009;1.99; 95&#x0025; CI: 1.35 to 2.93, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001). A mild increase in OR estimate was noted through trim and fill analysis (adjusted OR&#x2009;&#x003D;&#x2009;2.22; 95&#x0025; CI: 1.59 to 3.11, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001; <xref ref-type="sec" rid="s9">Supplementary Figure S4</xref>).</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Forest plot of incidence of MBG&#x2009;&#x003D;&#x2009;3.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1102717-g004.tif"/>
</fig>
</sec>
<sec id="s3c3"><title>Incidence of MBG &#x2265;2</title>
<p>We analyzed the incidence of MBG&#x2009;&#x2265;&#x2009;2 (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>). Compared with the clopidogrel group, the ticagrelor group had a greater incidence of MBG&#x2009;&#x2265;&#x2009;2 (fixed-effect model: OR&#x2009;&#x003D;&#x2009;2.57; 95&#x0025; CI: 1.61 to 4.12, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001; <italic>I</italic><sup>2&#x2009;</sup>&#x003D;&#x2009;0&#x0025;, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.84; and random-effect model: OR&#x2009;&#x003D;&#x2009;2.55; 95&#x0025; CI: 1.59 to 4.10, <italic>p&#x2009;</italic>&#x003C;&#x2009;0.001). No publication bias was found in these trials (Egger&#x0027;s test, <italic>p&#x2009;</italic>&#x003D;&#x2009;0.91).</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Forest plot of incidence of MBG&#x2009;&#x2265;&#x2009;2.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1102717-g005.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>The present meta-analysis of seven RCTs, including 957 STEMI patients who underwent PCI, found that ticagrelor improved microvascular perfusion more significantly than clopidogrel, measured as both cTFC and MBG.</p>
<p>Coronary microcirculation is defined as the vessel network that contains prearterioles (diameter &#x003C;400&#x2005;&#x00B5;m), arterioles (diameter &#x003C;100&#x2005;&#x00B5;m), and capillaries (diameter &#x003C;10&#x2005;&#x00B5;m) (<xref ref-type="bibr" rid="B23">23</xref>). Coronary microvascular dysfunction (CMD) can result in the inability of coronary arteries to augment coronary blood flow and can even result in a reduction of coronary blood flow, thereby contributing to ischemia in the absence of obstructive epicardial coronary artery disease (<xref ref-type="bibr" rid="B24">24</xref>). Impairments in coronary microvascular function play an important role in various diseases, including diabetes, chronic kidney disease, and Takotsubo syndrome (<xref ref-type="bibr" rid="B25">25</xref>). In STEMI patients, even if successful PCI is performed, incomplete microvascular perfusion is present in more than half of patients, along with a higher incidence of cardiac death (<xref ref-type="bibr" rid="B26">26</xref>). The underlying mechanisms include coronary endothelial cell injury, intramyocardial hemorrhage, greater coronary microvascular permeability, platelet aggregation, and the formation of microthrombi in microvessels (<xref ref-type="bibr" rid="B8">8</xref>). Coronary microcirculation resistance closely correlated with left ventricular function and myocardial infarct size in STEMI patients (<xref ref-type="bibr" rid="B27">27</xref>). Changes in coronary microcirculation on the first day after primary PCI are associated with the 6-month ejection fraction and myocardial salvage (<xref ref-type="bibr" rid="B28">28</xref>). Even after controlling for infarct size, microvascular status remained a strong predictor of prognosis in patients with MI (<xref ref-type="bibr" rid="B29">29</xref>).</p>
<p>Platelet activation can lead to the formation of thrombi and distal microemboli and obstructive platelet aggregates within myocardial capillaries in reperfused ischemic tissue (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). Antiplatelet treatment has been proven to reduce intracoronary thrombus and improve the speed and efficacy of epicardial reperfusion (<xref ref-type="bibr" rid="B33">33</xref>). Unlike clopidogrel, ticagrelor is a direct-acting, reversible antagonist of P2Y12 receptors and has a faster onset (peak activity within 30&#x2005;min) and shorter half-life (8&#x2013;12&#x2005;h) than clopidogrel (<xref ref-type="bibr" rid="B10">10</xref>). In addition to its potent inhibition of platelet function, ticagrelor can increase adenosine levels by inhibiting adenosine reuptake and inducing adenosine triphosphate release from red blood cells, which stimulate vasodilation (<xref ref-type="bibr" rid="B34">34</xref>). These mechanisms of action of ticagrelor may result in better microvascular perfusion compared with clopidogrel.</p>
<p>Technically, CMD is diagnosed by assessing CFR and IMR (<xref ref-type="bibr" rid="B35">35</xref>). The speed of contrast movement during angiography also correlates with CMD (<xref ref-type="bibr" rid="B36">36</xref>). cTFC is a simple, reproducible, objective, and quantitative index of coronary flow (<xref ref-type="bibr" rid="B37">37</xref>). Although cTFC is a measure of epicardial flow, it depends on resistive components in the microvasculature. Studies have demonstrated that the cTFC value is a strong independent predictor of insufficient myocardial reperfusion after reopening the infarct-related artery (<xref ref-type="bibr" rid="B38">38</xref>). The MBG is used to evaluate myocardial perfusion by assessing the maximum intensity of contrast in the myocardium (<xref ref-type="bibr" rid="B39">39</xref>). Unsuccessful reperfusion (MBG&#x2009;&#x003D;&#x2009;0/1) correlated with a larger infarct size and higher cardiac mortality (<xref ref-type="bibr" rid="B40">40</xref>). One trial found that STEMI patients with a mortality of 24&#x0025;, 10&#x0025;, 6&#x0025;, and 4&#x0025; could be stratified with a MBG of 0, 1, 2, and 3 (<italic>p&#x2009;</italic>&#x003C;&#x2009;0.001), respectively (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>In the present analysis, we found that loading with ticagrelor before PCI in STEMI patients reduced cTFC and improved MBG more significantly compared with clopidogrel. Sabbah et al. (<xref ref-type="bibr" rid="B41">41</xref>) found that loading with ticagrelor before primary PCI in STEMI patients was associated with a smaller infarct size and larger myocardial salvage index after a 3-month follow-up compared with clopidogrel. Another study found that a 180&#x2005;mg ticagrelor loading dose might more effectively reduce microvascular injury, assessed by IMR, than a clopidogrel loading dose (<xref ref-type="bibr" rid="B42">42</xref>), which was consistent with our analysis. Moreover, Jeong et al. (<xref ref-type="bibr" rid="B43">43</xref>) investigated myocardial blood flow (MBF) using 13 N-ammonia positron emission tomography imaging in ACS patients who were treated with PCI. They found that MBF was higher after receiving ticagrelor for 6 months compared with clopidogrel. This may suggest that ticagrelor can improve coronary microcirculation function with short-term treatment before PCI or long-term maintenance treatment.</p>
<p>In conclusion, ticagrelor improved CMD more than clopidogrel in STEMI patients who underwent primary PCI.</p>
<sec id="s4a"><title>Limitations</title>
<p>The present meta-analysis has several limitations. First, we used trial-level data instead of individual patient data. Second, accurate details of the PCI procedures were absent from our analysis. Third, several RCTs included small populations. Fourth, significant heterogeneity still existed in the analysis of cTFC. However, because of the limited relevant data, no further analysis (e.g., subgroup analysis) could be conducted to reduce heterogeneity. Fifth, more novel indices (e.g., CFR, IMR, and hyperemic microvascular resistance) have been shown to more reliably evaluate microvascular dysfunction. However, there were only a few relevant clinical trials, possibly because of the additional financial burden and additional operational procedures that limit their use. Sixth, publication bias existed, which might influence the results. Seventh, the RCTs implemented various indicators of microcirculation. The use of more specific and accurate indicators should be encouraged.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>In conclusion, ticagrelor appeared to be superior to clopidogrel in improving coronary microvascular function in STEMI patients who underwent PCI. However, the RCTs that were analyzed herein had small sample sizes, and we detected various outcomes with regard to microcirculation. In the clinic, the choice between these two drugs should be made based on the most current research on clinical outcomes in patients with STEMI.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>YL, JZ and YG conceived and designed the study. YL, ZX performed the study and wrote the main manuscript text. ZG, EX, PL and CY contributed to conducting data analysis of the initial draft. MW and ML were responsible for checking and revising the manuscript. XZ was responsible for the revision of data analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information"><title>Funding</title>
<p>Beijing Research Ward Construction Clinical Research Project (2022-YJXBF-04-03), National High Level Hospital Clinical Research Funding (2022-NHLHCRF-YSPY-01), Capital&#x0027;s Founds for Health Improvement and Research (No. 2022-1-4062), National Natural Science Foundation of China (No. 82270352).</p>
</sec>
<sec id="s8" 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="s10" 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="s9" 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.2023.1102717/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1102717/full&#x0023;supplementary-material</ext-link>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/></supplementary-material>
</sec>
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