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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.2022.927642</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison of cusp-overlap projection and standard three-cusp coplanar view during self-expanding transcatheter aortic valve replacement: A systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Chen</surname> <given-names>Yujing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1781002/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhu</surname> <given-names>Gangjie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1491642/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Weilin</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chai</surname> <given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tao</surname> <given-names>Minjie</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Kong</surname> <given-names>Dongmei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Yingzi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Hepatobiliary Surgery, Affiliated Hangzhou First People&#x2019;s Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, Affiliated Hangzhou First People&#x2019;s Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Endocrinology, Affiliated Hangzhou First People&#x2019;s Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Bernard Chevalier, Institut Cardiovasculaire Paris Sud, France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Roberto Valvo, University of Catania, Italy; Mamoo Nakamura, Cedars-Sinai Medical Center, United States; Silvia Mas-Peiro, Goethe University Frankfurt, Germany</p></fn>
<corresp id="c001">&#x002A;Correspondence: Yujing Chen, <email>yjchen_cyj@126.com</email></corresp>
<corresp id="c002">Li Wang, <email>13646846188@139.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Structural Interventional Cardiology, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>927642</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>04</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>07</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Chen, Zhu, Liu, Wu, Chai, Tao, Kong, Li and Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Zhu, Liu, Wu, Chai, Tao, Kong, Li and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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>Objective</title>
<p>Permanent pacemaker implantation (PPI) is a common complication after transcatheter aortic valve replacement (TAVR). Recently, the cusp-overlap projection (COP) technique was thought to be a feasible method to reduce PPI risk. However, the evidence is still relatively scarce. Therefore, this meta-analysis was performed to compare COP and standard three-cusp coplanar (TCC) projection technique.</p>
</sec>
<sec>
<title>Methods</title>
<p>PubMed and EMBASE databases were systematically searched for relevant literature published from the inception (EMBASE from 1974 and PubMed from 1966) to 16 April 2022, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The primary outcome of interest was post-operative (including in-hospital and 30-day) PPI.</p>
</sec>
<sec>
<title>Results</title>
<p>Total of 3,647 subjects from 11 studies were included in this meta-analysis. Of those, 1,453 underwent self-expanding TAVR using COP and 2,194 using TCC technique. In a pooled analysis, the cumulative PPI incidence was 9.3% [95% confidence interval (CI): 6.9&#x2013;11.7%] and 18.9% (95% CI: 15.5&#x2013;22.3%) in the COP group and TCC group, respectively. The application of the COP technique was associated with a significant PPI risk reduction (<italic>I<sup>2</sup></italic> = 40.3% and heterogeneity Chi-square <italic>p</italic> = 0.070, random-effects OR: 0.49, 95% CI: 0.36&#x2013;0.66, <italic>p</italic> &#x003C; 0.001). A higher implantation depth was achieved in the COP group compared with the TCC group [standardized mean difference (SMD) = &#x2212;0.324, 95% CI: (&#x2212;0.469, &#x2212;0.180)]. There was no significant difference between the two groups in second valve implantation, prosthesis pop-out, fluoroscopic time, post-operative left bundle branch block, mortality, stroke, moderate/severe paravalvular leakage, mean gradient, and length of hospital stay. However, radiation doses were higher in the COP group [SMD = 0.394, 95% CI: (0.216, 0.572), <italic>p</italic> &#x003C; 0.001].</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In self-expanding TAVR, the application of the cusp overlap projection technique was associated with a lower risk of PPI compared with the standard TCC technique.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>[<ext-link ext-link-type="uri" xlink:href="https://inplasy.com/inplasy-2022-4-0092/">https://inplasy.com/inplasy-2022-4-0092/</ext-link>], identifier [INPLASY202240092].</p>
</sec>
</abstract>
<kwd-group>
<kwd>cusp-overlap projection</kwd>
<kwd>fluoroscopy</kwd>
<kwd>permanent pacemaker implantation (PPI)</kwd>
<kwd>implantation depth</kwd>
<kwd>transcatheter aortic valve replacement</kwd>
<kwd>TAVR</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="13"/>
<word-count count="6435"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>As the PARTNER 3 study and Evolut Low-Risk study provided favorable evidence for transcatheter aortic valve replacement (TAVR) in low surgical risk patients (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>), updated guidelines on valvular heart disease included the recommendation of TAVR even for low-risk patients (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). An increasing number of young patients with low surgical risk could be suitable candidates for TAVR. Permanent pacemaker implantation (PPI) is a common complication after TAVR. On the one hand, PPI after TAVR was thought to hamper the recovery of heart function. Also, recent studies highlighted that PPI was associated with worse clinical outcomes, including mortality and heart failure re-hospitalization (<xref ref-type="bibr" rid="B5">5</xref>). On the other hand, a pacemaker would need to be replaced due to battery depletion, which would obviously influence patients&#x2019; lifetime management, especially in relatively younger patients. Therefore, exploring new ways to reduce the incidence of PPI is important for the future development of TAVR.</p>
<p>The reported incidences of PPI before discharge are 5.9&#x2013;32.0%, which show great variability among different centers (<xref ref-type="bibr" rid="B5">5</xref>). PPI has many predictors, including pre-existing right bundle branch block, atrioventricular block, short membranous septum length, left ventricular outflow calcification, deep prosthesis implantation depth, larger oversizing ratio, and similar (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). However, most factors are not modifiable except for implantation depth and the oversizing ratio of the prosthesis (<xref ref-type="bibr" rid="B7">7</xref>). Since reducing the oversizing ratio might cause more paravalvular leakage (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>), a higher prosthesis implantation seems to be a good choice for reducing the risk of PPI.</p>
<p>The current manufacturer recommends the implantation depth for self-expanding Evolut series prosthesis to be 3&#x2013;5 mm. Higher prosthesis implantation means the distance between the annulus and lowest plane of metal stent needs to be less than 5 mm, or even 3 and 2 mm, which might increase the risk of the prosthesis pop-out. Actually, it is hard to precisely release the prosthesis higher using the conventional device implantation technique. Therefore, exploring new ways to achieve a higher prosthesis release is of essential importance. Cusp-overlap projection (COP), which is a new projection technique during prosthesis release, might be a viable solution. Unlike the standard three-cusp coplanar (TCC) view in which the right coronary cusp (RCC) is in the middle of the left coronary cusp (LCC) and non-coronary cusp (NCC), COP makes the LCC and the RCC overlap in order to eliminate parallax (<xref ref-type="fig" rid="F1">Figure 1</xref>). It helps elongate the left ventricular outflow tract and evaluate the true releasing depth in NCC, thus precisely achieving higher implantation (<xref ref-type="bibr" rid="B10">10</xref>). However, as a new technique, it is uncertain whether COP is actually associated with higher implantation depth, less LBBB, and less PPI after the procedure. The aim of the current study was to perform a systematic review and meta-analysis to compare the COP and TCC.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Image of cusp-overlap projection and three-cusp coplanar view. LCC, left coronary cusp; NCC, non-coronary cusp; RCC, right-coronary cusp. Typical image of standard three-cusp coplanar in pre-operative axial reconstruction <bold>(A)</bold> and fluoroscopy during TAVR procedure <bold>(C)</bold>. In standard fluoroscopy, RCC (yellow dot) was located in the middle of NCC (red dot), and LCC (green dot). Panels <bold>(B,D)</bold> represented images of cusp-overlap projection, where RCC (yellow dot) and LCC (green dot) were overlapped in fluoroscopy. The blue eye and dotted red arrows represented projection direction in fluoroscopy.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g001.tif"/>
</fig>
</sec>
<sec id="S2">
<title>Methods</title>
<sec id="S2.SS1">
<title>Search strategy</title>
<p>A systematic literature search of PubMed and EMBASE database was conducted from the inception of these two databases (EMBASE from 1974 and PubMed from 1966) to 16 April 2022, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The following terms were used for searching: (<italic>TAVR</italic> OR <italic>TAVI</italic> OR &#x201C;<italic>transcatheter aortic valve</italic>&#x201D;) AND (&#x201C;<italic>cusp overlap</italic>&#x201D; OR &#x201C;<italic>cusp overlapping</italic>&#x201D;). The title and abstract were screened by two independent investigators (YC and GZ), and the study eligibility and the quality were assessed. The disagreements were solved by consulting a third investigator (LW), following which a consensus was reached between three investigators. The study protocol was registered in INPLASY (INPLASY202240092).</p>
</sec>
<sec id="S2.SS2">
<title>Study selection</title>
<p>The research meets the following criteria was included: (1) the study made a comparison between the cusp-overlap technique and the standard technique; (2) self-expanding valves were used; (3) at least 10 patients were enrolled in the study; (4) published in the English language; and (5) conference presentation and abstract fulfilling the above criteria. Case reports or single-arm studies were excluded. If the same population was reported in different studies, only the largest and the most recent studies were included.</p>
</sec>
<sec id="S2.SS3">
<title>Outcomes of interest and data extraction</title>
<p>As our aim was to evaluate the efficacy and safety of the COP technique, the primary outcome of interest was post-operative (including in-hospital and 30-day) PPI. Secondary outcomes of interest were second valve implantation, prosthesis pop-out, intra-procedural radiation doses, fluoroscopic time, prosthesis implantation depth, length of hospital stay, and post-operative (including in-hospital and 30-day) LBBB, mortality, stroke, mean aortic valve gradient, and moderate or severe paravalvular leakage. Baseline and procedural characteristics were also gathered based on pre-defined extraction lists, including age, sex, surgical risk (Society of Thoracic Surgeon score or European System for Cardiac Operative Risk Evaluation score), pre-existing atrial fibrillation, LBBB, right bundle branch block, access of procedure, pre-dilatation, and post-dilatation. YC and GZ independently assessed the accuracy of the data and reached a consensus when discrepancies occurred.</p>
</sec>
<sec id="S2.SS4">
<title>Statistical analysis</title>
<p>The results of the meta-analysis were summarized as odds ratio (OR), risk ratio, and 95% confidence interval (CI). Data presented as median (interquartile range) in the included studies were converted to mean &#x00B1; SD, as described in previous studies (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The Cochrane <italic>Q</italic>-statistic (<italic>&#x03C7;<sup>2</sup></italic>) and Higgins&#x2019; and Thompson&#x2019;s <italic>I</italic><sup>2</sup> statistics were assessed to test heterogeneity. A random-effect model was used if there was significant heterogeneity, which was defined as <italic>I</italic><sup>2</sup> &#x003E; 50% or <italic>p</italic> &#x2264; 0.01. Otherwise, a fixed-effect model was used. A subgroup analysis was performed for PPI: data based on original article or conference presentation. Besides, a sensitivity analysis was also performed for PPI by removing each study from the pooled analysis. A two-sided <italic>p</italic> &#x003C; 0.05 was considered to be statistically significant. The statistical analyses were performed with stata software version 14.0 (StataCorp LP, College Station, United States) using <italic>metan</italic> command.</p>
</sec>
<sec id="S2.SS5">
<title>Quality and risk of bias assessment</title>
<p>Since all studies included in this meta-analysis were observational cohort studies, the quality of studies was assessed using Newcastle-Ottawa Scale. Publication bias for PPI was evaluated by the Begg test/Egger test. A funnel plot was also presented to visually evaluate publication bias.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Included studies and study details</title>
<p>The flowchart of the literature search is presented in <xref ref-type="fig" rid="F2">Figure 2</xref>. A total of 11 studies, including 3,647 patients, were finally included in this meta-analysis (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). All of the included studies were non-randomized cohort studies. Three studies were original articles, while the others were conference presentations or abstracts. The Newcastle-Ottawa Scale score ranged from 6 to 9 points, revealing a relatively low risk of bias (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>). Across the 11 selected reports, 1,453 and 2,194 patients underwent self-expanding TAVR using COP or TCC technique, respectively. Detail of the studies&#x2019; baseline characteristics (including age, sex, surgical risk, pre-existing arrhythmia, etc.) and procedural characteristics are shown in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Flow diagram. COP, cusp-overlap projection; TCC, three-cusp coplanar.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g002.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Overview of the included study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">References</td>
<td valign="top" align="left">Study type</td>
<td valign="top" align="left">Region</td>
<td valign="top" align="left">Year</td>
<td valign="top" align="left">Patients, <italic>n</italic></td>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">Surgical risk</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Original article</td>
<td valign="top" align="left">Germany (Munich)</td>
<td valign="top" align="left">COP: December 2020 to October 2021 TCC: April 2019 to November 2020</td>
<td valign="top" align="left">COP: 61 TCC: 61</td>
<td valign="top" align="left">COP: 82.5 (79.0, 86.8) TCC: 83.3 (80.4, 87.9)</td>
<td valign="top" align="left">COP: 15/61 TCC: 10/61</td>
<td valign="top" align="left">STS: COP: 3.5 (2.6, 3.7) TCC: 3.1 (2.0, 4.9)</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">Original article</td>
<td valign="top" align="left">Spain Canada Mexico</td>
<td valign="top" align="left">February 2015 to February 2021</td>
<td valign="top" align="left">COP: 161 TCC: 161</td>
<td valign="top" align="left">COP: 81.8 &#x00B1; 8.9 TCC: 82.5 &#x00B1; 6.9</td>
<td valign="top" align="left">COP: 82/161 TCC: 91/161</td>
<td valign="top" align="left">STS: COP: 4.3 &#x00B1; 1.9 TCC: 4.2 &#x00B1; 2.0</td>
</tr>
<tr>
<td valign="top" align="left">Medranda et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">United States (Washington and Baltimore)</td>
<td valign="top" align="left">January 2018 to June 2021</td>
<td valign="top" align="left">COP: 52 TCC: 225</td>
<td valign="top" align="left">Mean age: 81.5</td>
<td valign="top" align="left">160/277</td>
<td valign="top" align="left">Mean STS score: 4.5</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Original article</td>
<td valign="top" align="left">Argentina Slovenia Costa Rica</td>
<td valign="top" align="left">COP: August 2019 to June 2020 TCC: before August 2019</td>
<td valign="top" align="left">COP: 156 TCC: 101</td>
<td valign="top" align="left">COP: 79.6 &#x00B1; 7.4 TCC: 79.8 &#x00B1; 7.9</td>
<td valign="top" align="left">COP: 77/156 TCC: 52/101</td>
<td valign="top" align="left">STS: COP: 5.9 &#x00B1; 2.6 TCC: 5.8 &#x00B1; 2.4</td>
</tr>
<tr>
<td valign="top" align="left">Sadiq et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">United States (Connecticut)</td>
<td valign="top" align="left">COP: January 2020 to January 2021 TCC: January 2019 to January 2020</td>
<td valign="top" align="left">COP: 75 TCC: 104</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Perez et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">COP: 41 TCC: 32</td>
<td valign="top" align="left">COP: 78.3 &#x00B1; 6.9 TCC: 77.7 &#x00B1; 10.0</td>
<td valign="top" align="left">COP: 26/41 TCC: 21/32</td>
<td valign="top" align="left">STS: COP: 4.3 &#x00B1; 2.5 TCC: 6.7 &#x00B1; 3.9</td>
</tr>
<tr>
<td valign="top" align="left">Maier et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">Germany (Dusseldorf and Frankfurt)</td>
<td valign="top" align="left">COP: September 2020 to February 2021 TCC: January 2016 to August 2020</td>
<td valign="top" align="left">COP: 127 TCC: 589</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Goel et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">United States (New York)</td>
<td valign="top" align="left">January 2017 to January 2021</td>
<td valign="top" align="left">COP: 202 TCC: 325</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Jones et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">Australia</td>
<td valign="top" align="left">COP: January 2020 to March 2021 TCC: between 2008 and 2021</td>
<td valign="top" align="left">COP: 139 TCC: 452</td>
<td valign="top" align="left">81 &#x00B1; 13</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">EuroSCORE II 5.2 &#x00B1; 4.1</td>
</tr>
<tr>
<td valign="top" align="left">Aljabbary et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">COP: July 2018 to February 2020 TCC: April 2016 to March 2017</td>
<td valign="top" align="left">COP: 393 TCC: 127</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Abstract</td>
<td valign="top" align="left">United States (New York)</td>
<td valign="top" align="left">November 2014 to June 2016</td>
<td valign="top" align="left">COP: 46 TCC: 17</td>
<td valign="top" align="left">COP: 81 &#x00B1; 9 TCC: 77 &#x00B1; 9</td>
<td valign="top" align="left">COP: 23/46 TCC: 6/17</td>
<td valign="top" align="left">STS: COP: 9.1 &#x00B1; 5.8 TCC: 7.7 &#x00B1; 4.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>COP, cusp-overlap projection; EuroSCORE, European System for Cardiac Operative Risk Evaluation; STS, Society of Thoracic Surgeons; TCC, three-cusp coplanar.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS2">
<title>Primary outcomes</title>
<p>All the included studies have reported the incidence of PPI after TAVR. The incidence of post-operative PPI ranged from 2.4 to 26.1% in the COP group, while the PPI rate ranged between 11.9 and 27.9% in the TCC group. In pooled analysis, the cumulative PPI incidence was 9.3% (95% CI: 6.9&#x2013;11.7%, random-effects model, <italic>I<sup>2</sup></italic> = 57.6%, heterogeneity Chi-square <italic>p</italic> = 0.009) and 18.9% (95% CI: 15.5&#x2013;22.3%, random-effects model, <italic>I<sup>2</sup></italic> = 72.2%, heterogeneity Chi-square <italic>p</italic> &#x003C; 0.001) in COP group and TCC group, respectively. The application of the COP technique was associated with a significant PPI risk reduction (<italic>I<sup>2</sup></italic> = 40.3% and heterogeneity Chi-square <italic>p</italic> = 0.070, random-effects OR: 0.49, 95% CI: 0.36&#x2013;0.66, <italic>p</italic> &#x003C; 0.001; <xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Meta-analysis of the primary outcome of interest. CI, confidence interval; COP, cusp-overlap projection; OR, odds ratio; PPI, permanent pacemaker implantation; TCC, three-cusp coplanar. Forrest plot has shown the comparison of post-operative PPI. Since significant heterogeneity existed (heterogeneity Chi-square <italic>p</italic> = 0.070), a random-effects model was used. The bars represented a 95% CI.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g003.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Secondary outcomes</title>
<p>The forest plot and details of the analyses of the secondary outcomes are shown in <xref ref-type="fig" rid="F4">Figures 4,5</xref> and <xref ref-type="table" rid="T2">Tables 2,3</xref>. Using COP technique, a higher implantation depth was achieved [standardized mean difference (SMD) = &#x2212;0.324, 95% CI: (&#x2212;0.469, &#x2212;0.180)]. There were no significant differences between the two groups in second valve implantation, prosthesis pop-out, fluoroscopic time, post-operative LBBB, mortality, stroke, moderate/severe paravalvular leakage, mean aortic valve gradient, and length of hospital stay. However, radiation doses were higher in COP group [SMD = 0.394, 95% CI: (0.216, 0.572), <italic>p</italic> &#x003C; 0.001].</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Meta-analysis of secondary outcomes of interest (categorical variables). LBBB, left bundle branch block. Forrest plot has shown the comparison of secondary outcomes of interest, including prosthesis pop-out, second valve implantation, post-operative mortality, post-operative stroke, post-operative new-onset LBBB, and moderate or more paravalvular leakage after TAVR procedure. The heterogeneity was not significant in any of the analyses, and a fixed-effects model was used. The bars represented a 95% CI.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Meta-analysis of secondary outcomes of interest (continuous variables). Both the random-effects model (D + L) and fixed-effects model (I&#x2013;V) have been presented in the Forrest plot. Based on heterogeneity examination, radiation doses, fluoroscopic time, implantation depth, and mean gradient were tested using the fixed-effects model, while the length of hospital stay should be compared using a random-effects model. The pooled analyses suggested that a higher implantation depth was achieved by using the COP technique, while radiation doses were higher in the COP group. The bars represented a 95% CI.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g005.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Secondary outcomes of the meta-analysis (continuous variables).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center" colspan="2">COP group</td>
<td valign="top" align="center" colspan="2">TCC group</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Radiation doses</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
</tr>
<tr>
<td valign="top" align="left">Perez et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">1,747.7 &#x00B1; 1,411.3</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">1,144.5 &#x00B1; 671.3</td>
</tr>
<tr>
<td valign="top" align="left">Maier et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">127</td>
<td valign="top" align="left">4,919 &#x00B1; 3,559</td>
<td valign="top" align="left">589</td>
<td valign="top" align="left">3,714 &#x00B1; 3,168</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Heterogeneity: &#x03C7;<sup>2</sup> = 0.35, df = 1 (<italic>p</italic> = 0.554), <italic>I</italic><sup>2</sup> = 0%.<break/>Fixed-effects model, SMD: 0.394, 95% CI: (0.216, 0.572),<break/><italic>p</italic> &#x003C; 0.001.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Fluoroscopic time</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">26.4 &#x00B1; 11.6</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">29.4 &#x00B1; 14.8</td>
</tr>
<tr>
<td valign="top" align="left">Perez et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">27.0 &#x00B1; 17.5</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">26.3 &#x00B1; 9</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Heterogeneity: &#x03C7;<sup>2</sup> = 1.10, df = 1 (<italic>p</italic> = 0.294), <italic>I</italic><sup>2</sup> = 9.3%. Fixed-effects model, SMD: &#x2212;0.175, 95% CI: (&#x2212;0.373, 0.023), <italic>p</italic> = 0.083.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Implantation depth</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">5.3 &#x00B1; 2.3</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">5.9 &#x00B1; 2.5</td>
</tr>
<tr>
<td valign="top" align="left">Maier et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">127</td>
<td valign="top" align="left">3.9 &#x00B1; 2.7</td>
<td valign="top" align="left">589</td>
<td valign="top" align="left">4.9 &#x00B1; 2.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Heterogeneity: &#x03C7;<sup>2</sup> = 0.79, df = 1 (<italic>p</italic> = 0.375), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, SMD: &#x2212;0.324, 95% CI: (&#x2212;0.469, &#x2212;0.180), <italic>p</italic> &#x003C; 0.001.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Mean gradient</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">7.0 &#x00B1; 3.3</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">7.4 &#x00B1; 3.4</td>
</tr>
<tr>
<td valign="top" align="left">Perez et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">41</td>
<td valign="top" align="left">2.8 &#x00B1; 4.8</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">4.8 &#x00B1; 6.7</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">46</td>
<td valign="top" align="left">6.7 &#x00B1; 3.3</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">6.4 &#x00B1; 2.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Heterogeneity: &#x03C7;<sup>2</sup> = 1.50, df = 2 (<italic>p</italic> = 0.472), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, SMD: &#x2212;0.132, 95% CI: (&#x2212;0.319, 0.054), <italic>p</italic> = 0.165.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Length of hospital stay</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
<td valign="top" align="left"><bold><italic>n</italic></bold></td>
<td valign="top" align="left"><bold>Mean &#x00B1; SD</bold></td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">5.1 &#x00B1; 3.7</td>
<td valign="top" align="left">161</td>
<td valign="top" align="left">6.0 &#x00B1; 3.0</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">156</td>
<td valign="top" align="left">2.9 &#x00B1; 1.1</td>
<td valign="top" align="left">101</td>
<td valign="top" align="left">2.7 &#x00B1; 1.1</td>
</tr>
<tr>
<td valign="top" align="left">Sadiq et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">75</td>
<td valign="top" align="left">2.5 &#x00B1; 2.5</td>
<td valign="top" align="left">104</td>
<td valign="top" align="left">2.9 &#x00B1; 2.3</td>
</tr>
<tr>
<td valign="top" align="left">Maier et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">127</td>
<td valign="top" align="left">7.7 &#x00B1; 5.1</td>
<td valign="top" align="left">589</td>
<td valign="top" align="left">10.2 &#x00B1; 6.4</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">46</td>
<td valign="top" align="left">4.7 &#x00B1; 5.5</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">4.4 &#x00B1; 3.6</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Heterogeneity: &#x03C7;<sup>2</sup> = 14.42, df = 4 (<italic>p</italic> = 0.006), <italic>I</italic><sup>2</sup> = 72.3%. Random-effects model, SMD: &#x2212;0.148, 95% CI: (&#x2212;0.377, 0.082), <italic>p</italic> = 0.207.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>COP, cusp-overlap projection; SD, standard difference; SMD, standard mean difference; TCC, three-cusp coplanar. A random-effects model was used if significant heterogeneity existed. Otherwise the fixed-effects model was used.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Secondary outcomes of the meta-analysis (categorical variables).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">COP group events/patients</td>
<td valign="top" align="center">TCC group events/patients</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Prosthesis pop-out</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">1/161</td>
<td valign="top" align="center">3/161</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">1/156</td>
<td valign="top" align="center">0/101</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">0/46</td>
<td valign="top" align="center">0/17</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 1.36, df = 1 (<italic>p</italic> = 0.244), <italic>I</italic><sup>2</sup> = 26.3%. Fixed-effects model, OR: 0.602, 95% CI: 0.113&#x2013;3.206, <italic>p</italic> = 0.584.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Second valve implantation</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">1/61</td>
<td valign="top" align="center">0/61</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">5/161</td>
<td valign="top" align="center">5/161</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2/46</td>
<td valign="top" align="center">0/17</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 0.50, df = 2 (<italic>p</italic> = 0.779), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, OR: 1.276, 95% CI: 0.437&#x2013;3.722, <italic>p</italic> = 0.655.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Mortality</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">0/61</td>
<td valign="top" align="center">1/61</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">4/161</td>
<td valign="top" align="center">4/161</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">4/156</td>
<td valign="top" align="center">5/101</td>
</tr>
<tr>
<td valign="top" align="left">Goel et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">3/202</td>
<td valign="top" align="center">8/325</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">3/46</td>
<td valign="top" align="center">0/17</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 1.57, df = 4 (<italic>p</italic> = 0.815), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, OR: 0.714, 95% CI: 0.350&#x2013;1.458, <italic>p</italic> = 0.356.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Stroke</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2/61</td>
<td valign="top" align="center">3/61</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">9/161</td>
<td valign="top" align="center">9/161</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">1/156</td>
<td valign="top" align="center">0/101</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">1/46</td>
<td valign="top" align="center">1/17</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 0.80, df = 3 (<italic>p</italic> = 0.849), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, OR: 0.900, 95% CI: 0.414&#x2013;1.955, <italic>p</italic> = 0.790.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>New-onset LBBB</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">29/61</td>
<td valign="top" align="center">27/61</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">33/161</td>
<td valign="top" align="center">27/161</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">9/156</td>
<td valign="top" align="center">13/101</td>
</tr>
<tr>
<td valign="top" align="left">Goel et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">24/202</td>
<td valign="top" align="center">47/325</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 5.16, df = 3 (<italic>p</italic> = 0.160), <italic>I</italic><sup>2</sup> = 41.9%. Fixed-effects model, OR: 0.913, 95% CI: 0.668&#x2013;1.249, <italic>p</italic> = 0.569.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"><bold>Moderate or more paravalvular leakage</bold></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Doldi et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">3/61</td>
<td valign="top" align="center">1/61</td>
</tr>
<tr>
<td valign="top" align="left">Pascual et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">6/161</td>
<td valign="top" align="center">7/161</td>
</tr>
<tr>
<td valign="top" align="left">Mendiz et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">4/156</td>
<td valign="top" align="center">2/101</td>
</tr>
<tr>
<td valign="top" align="left">sadiq et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">7/75</td>
<td valign="top" align="center">5/104</td>
</tr>
<tr>
<td valign="top" align="left">Raza et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">1/46</td>
<td valign="top" align="center">1/17</td>
</tr>
<tr>
<td valign="top" align="left">Heterogeneity: &#x03C7;<sup>2</sup> = 2.47, df = 4 (<italic>p</italic> = 0.651), <italic>I</italic><sup>2</sup> = 0%. Fixed-effects model, OR: 1.310, 95% CI: 0.673&#x2013;2.549, <italic>p</italic> = 0.426.</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>The abbreviation and application of the random- or fixed-effects model were the same as in <xref ref-type="table" rid="T2">Table 2</xref>. The pooled analysis of post-operative outcomes included studies that reported in-hospital or 30-day outcomes.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Publication bias</title>
<p>The funnel plot is presented in <xref ref-type="fig" rid="F6">Figure 6</xref>, with no obvious asymmetry. Besides, both Egger&#x2019;s test (<italic>p</italic> = 0.764) and Begg&#x2019;s test (<italic>p</italic> = 0.436) showed that no significant publication bias existed.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>Begg&#x2019;s funnel plot for the publication bias. Shape of the funnel plot showed no obvious asymmetry. Besides, both Egger&#x2019;s test (<italic>p</italic> = 0.764) and Begg&#x2019;s test (<italic>p</italic> = 0.436) showed that no significant publication bias existed.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g006.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Sensitivity analysis</title>
<p>In subgroup analyses, PPI risk was still significantly lower in COP group when only pooled data of original articles (fixed-effect OR: 0.41, 95% CI: 0.27&#x2013;0.63, <italic>p</italic> &#x003C; 0.001; <italic>I<sup>2</sup></italic> = 0% and heterogeneity Chi-square <italic>p</italic> = 0.715) or conference abstracts (random-effect OR: 0.53, 95% CI: 0.35&#x2013;0.81, <italic>p</italic> = 0.003; <italic>I<sup>2</sup></italic> = 56.2% and heterogeneity Chi-square <italic>p</italic> = 0.025, <xref ref-type="fig" rid="F7">Figure 7</xref>) were used. Furthermore, the sensitivity analysis was performed by sequentially omitting each study from the pooled analysis using a random-effects model (<xref ref-type="fig" rid="F8">Figure 8</xref>). The effect size remained stable when any of the studies were omitted. The application of the COP technique was associated with a lower risk of PPI in all models.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption><p>Subgroup meta-analysis by study type. Both the random-effects model (D + L) and fixed-effects model (I&#x2013;V) have been presented in the Forrest plot. Significant heterogeneity existed in studies reported in the abstract, while there was no obvious heterogeneity in a subgroup analysis of original article studies. Therefore, the fixed-effects model should be performed in a meta-analysis of post-operative PPI in three original articles, and the random-effects model should be used in subgroup analysis in abstract studies. However, the COP group had a significantly lower risk of PPI in either subgroup meta-analysis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g007.tif"/>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption><p>Sensitive analysis through sequentially omitting each study from the pooled analysis. The effect size remained stable when any of the studies were omitted. The application of the COP technique was associated with approximately half PPI risk reduction in all models.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-927642-g008.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>To our knowledge, the present study is the first systematic review and meta-analysis that evaluated the safety and efficacy of the cusp-overlap technique. The main finding of the study are: (1) compared with standard TCC projection, the COP technique was associated with less PPI after self-expanding TAVR; (2) a higher implantation depth could be reached by using the COP technique; (3) the risk of post-operative LBBB, mortality, stroke, moderate or severe paravalvular leakage, and the mean gradient after TAVR were comparable between COP and TCC technique; and (4) however, the radiation doses were higher in the COP group.</p>
<sec id="S4.SS1">
<title>Cusp-overlap reduce permanent pacemaker implantation after self-expanding transcatheter aortic valve replacement</title>
<p>Although TAVR was thought to have similar or better mortality and stroke outcomes than surgical aortic valve replacement (SAVR), the risk of PPI after TAVR was more than twofold greater than SAVR (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). Self-expanding valve, which is widely used worldwide, was proven to be associated with a higher risk of PPI compared with a balloon-expandable valve. Even if in the last ten years great advances have been made in devices and techniques, there were still 17.4% of patients who underwent PPI within 30 days after self-expanding TAVR in the Evolut Low-Risk Trial (<xref ref-type="bibr" rid="B2">2</xref>), while the incidence of 30-day PPI was only 6.6% in patients who underwent balloon-expandable TAVR in PARTNER 3 study (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Since the conduction system such as the bundle of His and left bundle branch are located in the membranous septum just beneath the annulus plane, it is widely acknowledged that a higher prosthesis implantation depth could reduce PPI risk. Nevertheless, it is challenging for operators to precisely release prosthesis within a margin of millimeters.</p>
<p>Cusp-overlap projection technique, which was firstly reported at a conference in 2016, was introduced systematically in 2018 (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). COP technique rapidly became the focus of research all over the world. Nine studies published between 2020 and 2022 have compared COP with standard TCC technique. Recently, a well-designed propensity score matching study also reported a significantly lower PPI risk after TAVR (relative risk: 0.54) (<xref ref-type="bibr" rid="B21">21</xref>). As a current topic of interest, COP is considered as a great procedural improvement and has even been recommended as the standard implantation technique for self-expanding TAVR (<xref ref-type="bibr" rid="B29">29</xref>). However, the evidence on COP is still relatively scarce. Therefore, we conducted this meta-analysis, finding that COP reduced over 45% risk of post-operative PPI (risk ratio: 0.544, 95% CI: 0.418&#x2013;0.708, <italic>p</italic> &#x003C; 0.001, random effects model, <xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>), proving the efficacy of COP technique in self-expanding TAVR.</p>
<p>Normally, a standard TCC view is suitable for the balloon-expandable valve. The balloon-expandable prosthesis is more easily located in the center of the aortic annulus and could often be released perpendicular to the annulus. However, the releasing process of the self-expanding valve was different. Since the self-expanding valve had an obvious longer stent frame, the prosthesis would first contact NCC. Accordingly, the NCC side served as a support point, and the prosthesis naturally progressed toward to the outer curvature of the aortic root (<xref ref-type="bibr" rid="B29">29</xref>). Finally the prosthesis contacted the LCC side, after which the valve releasing was finished. Therefore, the deployment of self-expanding was usually asymmetric, and the visibility of the NCC side hinge point was found to be important. In the COP technique, besides the three coronary cusps in the same plane, the LCC and RCC overlapped during fluoroscopy (<xref ref-type="fig" rid="F1">Figure 1</xref>), which could facilitate better visualization of NCC and remove the parallax of a delivery system. Moreover, the conduction system and membranous septum, which are just located between the NCC and RCC, could also be better visualized. Besides, the left ventricular outflow tract was elongated, and the implantation depth could be evaluated more accurately. Considering the above, a lower PPI incidence was achieved using the COP technique.</p>
</sec>
<sec id="S4.SS2">
<title>Cusp-overlap and additional peri-procedural risk</title>
<p>Since the aim of the COP technique was to achieve higher prosthesis implantation, the risk of prosthesis pop-out, paravalvular leakage, second valve implantation, and whether this technique would lead to additional peri-procedural risk were the main issues. In the present study, the risk of paravalvular leakage, second valve implantation, and clinical events such as mortality and stroke were similar between COP and standard TCC groups. However, although only 2 out of 363 patients who received the COP technique suffered prosthesis pop-out in the included studies, Maier et al. suggested that COP was associated with higher rates of device reposition compared to the standard technique (57.8 vs. 16.2%, <italic>p</italic> &#x003C; 0.001) in their center (<xref ref-type="bibr" rid="B30">30</xref>). Besides, it should be noticed that the radiation doses were higher in the COP group. Even if this might be related to the learning curve of a new technique, the difficulty of achieving higher prosthesis implantation and the potential additional risk of COP needs to be further studied.</p>
</sec>
<sec id="S4.SS3">
<title>Future of cusp-overlap projection technique</title>
<p>Higher implantation of a self-expanding prosthesis might lead to coronary occlusion. Prevention techniques such as chimney stent protection and BASILICA (Bioprosthetic or native Aortic Scallop Intentional Laceration to prevent Iatrogenic Coronary Artery obstruction during TAVR) can be considered for patients at high risk of coronary occlusion. Besides, coronary access availability is another concern when using the COP technique to implant prosthesis higher (<xref ref-type="bibr" rid="B31">31</xref>). The method used to achieve commissure alignment during TAVR is another new technique, intended to make coronary ostia more easily available (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). In the SAVR procedure, surgeons can directly see coronary ostia and align the bioprosthesis with native valve commissures. However, this is quite challenging during the TAVR procedure. Recently, the COP technique was thought to be a feasible solution to achieve commissure alignment (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Using COP technique, the left side of fluoroscopy was aligned to the midpoint of NCC, and the commissure could be better visualized. However, the relevant studies are scarce and further evaluation of commissure alignment using COP versus TCC is needed.</p>
<p>Ultimately, COP could significantly reduce the risk of PPI. The incidence of PPI after self-expanding TAVR was only 6.4% in a low-volume center where the COP technique was used (<xref ref-type="bibr" rid="B23">23</xref>). The preliminary data from Optimize PRO study (NCT04091048), which evaluated the COP technique in Evolut PRO and PRO+, also revealed a favorable PPI rate (8.8%) (<xref ref-type="bibr" rid="B10">10</xref>). Besides, the incidence of PPI could be reduced by membranous septum guided prosthesis implantation, which could also be suitable when using the COP technique (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Theoretically, the combination of these two techniques might further reduce PPI risk. It was worth anticipating that the risk of PPI would be obviously reduced with the application of the COP technique, and the incidence of PPI after self-expanding TAVR could be as low as balloon-expandable valve implantation and even comparable to SAVR in the future.</p>
</sec>
</sec>
<sec id="S5">
<title>Limitations</title>
<p>The main limitation of this study is the non-randomized design of the included studies, which means baseline characteristics could not be matched. Secondly, only three original articles were included, while the remaining studies were conference presentations and abstracts. However, similar results can be found in the subgroup analyses by study type. There was no significant publication bias in our study, as conference abstracts were also included. Given the above, based on the obtained results, we can still deduce that COP can reduce PPI risk in self-expanding TAVR. Besides, so many studies of COP have been carried out within five years, revealing that the COP technique is currently a topic of great interest. A large number of conference reports make this systematic review more warranted and the importance of our study is highlighted. Third, the standard TCC technique was performed earlier than the COP technique in half of the included studies, which could lead to obvious selection bias. Since TAVR is a rapidly changing technique, recently treated patients were more likely to benefit from new devices and technological advances. Nevertheless, the current PPI incidence in patients using COP technique may also have been influenced by the learning curve effect. Forth, different centers could use the COP technique with different operative tips (such as starting level, rapid pacing, fluoroscopic strategy, etc.). As we could not fully obtain this information, this might lead to bias. Finally, some endpoints such as acute kidney injury and vascular complications have not been adequately reported in the included studies. Future large-scale, multi-center, and randomized controlled studies are needed to further evaluate the safety of the COP technique.</p>
</sec>
<sec id="S6" sec-type="conclusion">
<title>Conclusion</title>
<p>In self-expanding TAVR, the COP technique was associated with a significant risk reduction of post-operative PPI. COP technique could be more widely applied in clinical practice, with the caution of higher radiation doses. However, since COP is a new technique, more large-scale and high-quality evidence is needed.</p>
</sec>
<sec id="S7" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="S8">
<title>Author contributions</title>
<p>YC, GZ, and XL proposed the idea for the study and finished the study design. YC and GZ retrieved the studies, collected and extracted the data with disagreements resolved by LW. YC, WW, HC, and MT performed the statistical analyses and drafted the manuscript. DK and YL reviewed and revised the manuscript. All authors contributed to the preparation, read, and approved the final manuscript.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The Construction Fund of Key Medical Disciplines of Hangzhou (OO20200265).</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="S11" sec-type="disclaimer">
<title>Publisher&#x2019;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="S12" 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.2022.927642/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.927642/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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