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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.2022.868980</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>Re-repair vs. Replacement for Failed Mitral Valve Repair: A Systemic Review and Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhong</surname> <given-names>Zhaoji</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/1530548/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Hang</given-names></name>
</contrib>
<contrib contrib-type="author">
<name><surname>Song</surname> <given-names>Wu</given-names></name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Sheng</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1407437/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Cardiovascular Surgery, Fuwai Hospital, Chinese Academy of Medical Science</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sandro Gelsomino, Maastricht University, Netherlands</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Prakash P. Punjabi, Imperial College London, United Kingdom; Paul Philipp Heinisch, German Heart, Germany</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Sheng Liu <email>liusheng&#x00040;fuwai.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Heart Surgery, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>868980</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Zhong, Xu, Song and Liu.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Zhong, Xu, Song and Liu</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>The objective of this study was to compare outcomes of re-repair with those of mitral valve replacement (MVR) for failed initial mitral valve repair (MVr).</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched the Pubmed, Embase, and Cochrane Library databases for studies that compared mitral valve re-repair with MVR for the treatment of failed initial MVr. Data were extracted by two independent investigators and subjected to a meta-analysis. Odds ratio (OR), risk ratio (RR), hazard ratio (HR), ratio difference (RD), mean difference (MD), and 95% confidence interval (CI) were calculated with the Mantel-Haenszel and inverse-variance methods for mode of repair failure, perioperative outcomes, and follow-up outcomes.</p>
</sec>
<sec>
<title>Results</title>
<p>Eight retrospective cohort studies were included, with a total of 938 patients, and mean/median follow-up ranged from 1.8 to 8.9 years. Pooled incidence of technical failure was 41% (RD: 0.41; 95% CI: 0.32 to 0.5; <italic>P</italic> = 0.00; I<sup>2</sup> = 86%; 6 studies, 846 patients). Pooled mitral valve re-repair rate was 36% (RD: 0.36; 95% CI: 0.26&#x02013;0.46; <italic>P</italic> = 0; I<sup>2</sup> = 91%; 8 studies, 938 patients). Pooled data showed significantly lower perioperative mortality (RR: 0.22; 95% CI: 07 to 0.66; I<sup>2</sup> = 0%; <italic>P</italic> = 0.008; 6 studies, 824 patients) and significantly lower long-term mortality (HR:0.42; 95% CI: 0.3 to 0.58; I<sup>2</sup> = 0%; <italic>P</italic> = 0; 7 studies, 903 patients) in the re-repair group compared with MVR.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Mitral valve re-repair was associated with better immediate and sustained outcomes for failed MVr and should be recommended if technically feasible.</p>
</sec></abstract>
<kwd-group>
<kwd>mitral valve repair</kwd>
<kwd>failure</kwd>
<kwd>recurrence</kwd>
<kwd>reoperation</kwd>
<kwd>mitral valve replacement</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="10"/>
<word-count count="5146"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Mitral regurgitation (MR) is common, with a prevalence of 0.6&#x02013;2.7% in the general population (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Yearly mortality rates with medical treatment in patients &#x02265; 50 years old are approximately 6% for severe organic MR (<xref ref-type="bibr" rid="B3">3</xref>). Surgery has been proven to improve symptoms and survival, and mitral valve repair (MVr) is associated with lower operative mortality and better long-term survival than mitral valve replacement (MVR) (<xref ref-type="bibr" rid="B4">4</xref>). Thus, MVr is the treatment of choice recommended by current guidelines, especially for degenerative diseases (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>In experienced heart centers, a repair rate of nearly 100% for degenerative MR can be achieved (<xref ref-type="bibr" rid="B7">7</xref>). However, MVr carries a potential risk for reoperation. The reoperation rate following degenerative MVr is approximately 0.5&#x02013;1% per year, reducing late survival (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Re-repair, MVR (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>), and transcatheter procedures (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>) have been recommended for failed MVr, but controversies exist regarding optimal treatment strategy. Re-repair and MVR are two strategies for reoperation of failed previous MVr. Some reported similar re-repair results compared with MVR (<xref ref-type="bibr" rid="B23">23</xref>), while others adopted an aggressive strategy for re-repair (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Thus, we conducted this systematic review and meta-analysis to compare the long-term outcomes of re-repair and MVR for failed previous MVr.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Search Strategy</title>
<p>The study was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B25">25</xref>). On January 14, 2022, a comprehensive literature search was conducted using the PubMed, Embase, and Cochrane Library databases for relevant studies published since 2000 that reported the outcomes of reoperation for failed MVr. The following words found in the title or abstract were used to perform the search: &#x0201C;mitral valve&#x0201D; and &#x0201C;repair&#x0201D; and &#x0201C;recurrent<sup>&#x0002A;</sup>&#x0201D; or &#x0201C;reoperation.&#x0201D;</p>
</sec>
<sec>
<title>Study Selection</title>
<p>Studies that met the following criteria were included: (1) the population consisted of patients who underwent repeat mitral valve surgery (re-repair or MVR) because of failed previous MVr; (2) there were data on perioperative mortality and long-term survival outcomes; (3) studies that reported the outcomes of the re-repair and MVR groups.</p>
<p>The exclusion criteria were as follows: (1) primary surgery including MVR, (2) reoperation due to causes other than repair failure, (3) transcatheter procedures, (4) second cross-clamp during the same surgery, and (5) studies with &#x02264; 10 patients included, duplicate publications, and review of articles.</p>
<p>Three authors (ZZ, HX, and WS) screened and assessed the studies independently for inclusion. Disagreements regarding the inclusion of articles were resolved <italic>via</italic> group consensus.</p>
</sec>
<sec>
<title>Data Extraction</title>
<p>Two authors (ZZ and HX) reviewed and extracted the reported data from the studies, including details of the study (study design, inclusion criteria, study period, and follow-up duration), baseline demographics, preoperative echocardiographic parameters, causes of repair failure (technique or valve-related), surgical details (re-repair/MVR, and cross-clamp time), perioperative morbidities and mortality, and long-term outcomes (MR recurrence, reoperation, and mortality). For long-term outcomes, the number of observed events and the Kaplan-Meier estimation were extracted and analyzed.</p>
</sec>
<sec>
<title>Quality Assessment</title>
<p>Study quality and risk of bias were assessed using the Newcastle-Ottawa Scale. Disagreements were resolved by consensus.</p>
</sec>
<sec>
<title>Statistical Analysis and Meta-Analysis</title>
<p>The analyses were performed utilizing Review Manager 5.4 (Cochrane Collaboration, Oxford, United Kingdom). Statistical heterogeneity was assessed using I<sup>2</sup> for low (25&#x0007E;49%), moderate (50&#x0007E; 74%), and high (&#x02265; 75%) heterogeneity. When I<sup>2</sup> &#x02265; 50%, random-effects models were utilized.</p>
<p>For the single-arm meta-analysis (re-repair rate and incidence of technical failure), generic inverse variance methods were used. For binary data (incidence of technical failure), the odds ratio (OR) was calculated using the Mantel-Haenszel method. For continuous data (aortic cross-clamp time and hospital stay time), the mean difference (MD) was calculated using the inverse variance method. For binary data (perioperative and follow-up events), the relative risk (RR) was calculated using the Mantel-Haenszel method. For time-to-event data (the long-term outcomes), the hazard ratio (HR) was calculated using the logarithmic scale generic inverse variance method (<xref ref-type="bibr" rid="B26">26</xref>). When HR was not provided, it was calculated using the Kaplan-Meier survival <italic>P</italic> value and other details if possible (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). When the mean and variance were not provided, they were estimated from the median and quartile range (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). Forest plots were generated from the present pooled results.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Study Selection</title>
<p>A total of 2,365 studies were identified using the search criteria. Based on the title and abstract, 17 studies were retrieved for full-text review. Follow-up outcomes comparing re-repair and MVR were not reported in six studies. Two studies by Zegdi et al. used patients from the same institute (AP-HP, Assistance Publique-H&#x000F4;pitaux de Paris) for two different periods: 1991&#x02013;2004 (<xref ref-type="bibr" rid="B31">31</xref>) and 1987&#x02013;2006 (<xref ref-type="bibr" rid="B14">14</xref>), and the first one was excluded. One study by Ma et al. reported a second cross-clamp under reinstituted cardiopulmonary bypass for incomplete initial repair but not repair failure (<xref ref-type="bibr" rid="B32">32</xref>). Kwedar et al. included reoperation after both previous MVr and MVR and did not report outcomes after initial repair specifically (<xref ref-type="bibr" rid="B33">33</xref>). The remaining eight studies comprised pooled data (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>PRISMA flow chart depicting the selection of studies included in the meta-analysis. PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-analyses; MVR, mitral valve replacement.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-868980-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Study Characteristics</title>
<p>The eight studies were all unmatched retrospective cohort ones. Four studies included only degenerative mitral regurgitation, while the other four studies did not specify the pathological types. A total of 938 patients were included, of whom 295 underwent re-repair and 643 underwent MVR. Six studies compared the preoperative demographic data between the re-repair and MVR groups. All the studies reported follow-up results; mean/median follow-up ranged from 1.8 to 8.9 years. Seven studies reported the Kaplan-Meier survival estimation of the re-repair and MVR groups, while one only reported the follow-up events. The basic characteristics of the studies are listed in <xref ref-type="table" rid="T1">Table 1</xref>, and the demographic data are shown in <xref ref-type="table" rid="T2">Table 2</xref>. The Newcastle-Ottawa Scale scores ranged from 7 to 9 out of 9 for the studies. Some points were lost because of a lack of comparability between the groups. The quality assessment of the included studies is listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Basic characteristics of the included studies.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="left"><bold>Study period</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="left"><bold>Pathology</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Patients</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Follow-up (y)</bold></th>
<th valign="top" align="left"><bold>Main conclusions</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Suri et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left">1970&#x02013;2005</td>
<td valign="top" align="left">U.S.</td>
<td valign="top" align="left">Degenerative</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center" colspan="2">4.1 &#x000B1; 5.1</td>
<td valign="top" align="left">Re-repair has superior survival and heart function</td>
</tr>
<tr>
<td valign="top" align="left">Dumont et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="left">1980&#x02013;2005</td>
<td valign="top" align="left">U.S.</td>
<td valign="top" align="left">Degenerative</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center" colspan="2">6.5 &#x000B1; 5</td>
<td valign="top" align="left">When performed, re-repair is durable</td>
</tr>
<tr>
<td valign="top" align="left">Zegdi et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="left">1987&#x02013;2006</td>
<td valign="top" align="left">France</td>
<td valign="top" align="left">Degenerative</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">6.2 (0.83&#x02013;15.8)</td>
<td valign="top" align="center">8.9<break/> (0&#x02013;14.2)</td>
<td valign="top" align="left">Re-repair is feasible with encouraging results</td>
</tr>
<tr>
<td valign="top" align="left">Nishida et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="left">1991&#x02013;2015</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Degenerative</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center" colspan="2">6.4 &#x000B1; 4.6</td>
<td valign="top" align="left">Re-repair has acceptable durability and survival</td>
</tr>
<tr>
<td valign="top" align="left">Kilic et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left">2002&#x02013;2014</td>
<td valign="top" align="left">U.S.</td>
<td valign="top" align="left">Not specified</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">257</td>
<td valign="top" align="center">3.9 &#x000B1; 3.3</td>
<td valign="top" align="center">3.8 &#x000B1; 3.1</td>
<td valign="top" align="left">Re-repair has outcomes comparable to MVR</td>
</tr>
<tr>
<td valign="top" align="left">Noack et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="left">1996&#x02013;2016</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Not specified, Ring dehiscence only</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center" colspan="2">5.6 &#x000B1; 4.4</td>
<td valign="top" align="left">MV reoperation can be performed safely</td>
</tr>
<tr>
<td valign="top" align="left">Trumello et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="left">2003&#x02013;2017</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Not specified</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center" colspan="2">7.4 &#x000B1; 3.3</td>
<td valign="top" align="left">With re-repair, recurrent MR is not rare, but survival tends to be better</td>
</tr>
<tr>
<td valign="top" align="left">El-Eshmawi et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="left">2011&#x02013;2020</td>
<td valign="top" align="left">U.S.</td>
<td valign="top" align="left">Not specified, Redo for stenosis only</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center" colspan="2">1.8(0.5&#x02013;3.8)</td>
<td valign="top" align="left">Re-repair is feasible in a select group of patients</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MVR, mitral valve replacement; MV, mitral valve</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Baseline demographic data.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Age (y)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Male (</bold><italic><bold>n</bold></italic><bold>, %)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Preoperative LVEF (%)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Preoperative LVEDD (mm)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold><italic>P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Suri et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">64 &#x000B1; 13</td>
<td valign="top" align="center">67 &#x000B1; 11</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">49 (77%)</td>
<td valign="top" align="center">53 (65%)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">52 &#x000B1; 12</td>
<td valign="top" align="center">56 &#x000B1; 11</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">56 &#x000B1; 7</td>
<td valign="top" align="center">57 &#x000B1; 8</td>
<td valign="top" align="center">0.47</td>
</tr>
<tr>
<td valign="top" align="left">Dumont et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="center">57 &#x000B1; 9.8</td>
<td valign="top" align="center">63 &#x000B1; 12</td>
<td valign="top" align="center"><bold>0.0005</bold></td>
<td valign="top" align="center">50 (73%)</td>
<td valign="top" align="center">69 (57%)</td>
<td valign="top" align="center"><bold>0.03</bold></td>
<td valign="top" align="center">53 &#x000B1; 8.5</td>
<td valign="top" align="center">50 &#x000B1; 10</td>
<td valign="top" align="center">0.14</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Zegdi et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">55 (10&#x02013;87)</td>
<td valign="top" align="center">66 (27&#x02013;78)</td>
<td valign="top" align="center">&#x0003E;0.05</td>
<td valign="top" align="center">15 (71%)</td>
<td valign="top" align="center">17 (77%)</td>
<td valign="top" align="center">&#x0003E;0.05</td>
<td valign="top" align="center">71 (45&#x02013;80)</td>
<td valign="top" align="center">67 (35&#x02013;79)</td>
<td valign="top" align="center">&#x0003E;0.05</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Nishida et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">49 &#x000B1; 2.8</td>
<td valign="top" align="center">63 &#x000B1; 1.7</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="center" colspan="3">31 (36%)</td>
<td valign="top" align="center">56 &#x000B1; 2.3</td>
<td valign="top" align="center">55 &#x000B1; 1.4</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center" colspan="3">59 &#x000B1; 8</td>
</tr>
<tr>
<td valign="top" align="left">Kilic et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">61 &#x000B1; 16</td>
<td valign="top" align="center">62 &#x000B1; 15</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">30 (62%)</td>
<td valign="top" align="center">135 (45%)</td>
<td valign="top" align="center"><bold>0.02</bold></td>
<td valign="top" align="center">19% &#x0003C;40</td>
<td valign="top" align="center">15% &#x0003C;40</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Noack et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center" colspan="3">60 &#x000B1; 12</td>
<td valign="top" align="center" colspan="3">42 (74%)</td>
<td valign="top" align="center" colspan="3">52 &#x000B1; 16</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Trumello et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">50 &#x000B1; 13</td>
<td valign="top" align="center">60 &#x000B1; 11</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
<td valign="top" align="center">25 (64%)</td>
<td valign="top" align="center">24 (60%)</td>
<td valign="top" align="center">0.707</td>
<td valign="top" align="center">59 (55&#x02013;62)</td>
<td valign="top" align="center">57 (51&#x02013;60)</td>
<td valign="top" align="center">0.175</td>
<td valign="top" align="center">56 &#x000B1; 9</td>
<td valign="top" align="center">57 &#x000B1; 8</td>
<td valign="top" align="center">0.426</td>
</tr>
<tr>
<td valign="top" align="left">El-Eshmawi et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center" colspan="3">61.4 &#x000B1; 11.4</td>
<td valign="top" align="center" colspan="3">11 (31%)</td>
<td valign="top" align="center" colspan="3">58.5 &#x000B1; 9.3</td>
<td valign="top" align="center" colspan="3">46 &#x000B1; 7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MVR, mitral valve replacement; LVEF, left ventricular ejection fraction; LVEDD, left ventricular end-diastolic dimension. The bold values indicate significantly difference</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Mode of Mitral Valve Repair Failure</title>
<p>Failure of MVr can be categorized into technical failure (procedure-related) or progression of disease (valve-related) for recurrent regurgitation (<xref ref-type="bibr" rid="B34">34</xref>). Causes of mitral stenosis after MVr included organic and functional (&#x0201C;tunnel effect&#x0201D; due to a small ring) (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>The proportion of technical failure was reported in six studies (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>) and showed high heterogeneity (I<sup>2</sup> = 86%). One study (<xref ref-type="bibr" rid="B18">18</xref>) only included reoperation due to ring dehiscence (technical failure). The pooled incidence of technical failure was 41% (RD: 0.41; 95% CI:0.32&#x02013;0.5; <italic>P</italic> = 0; I<sup>2</sup> = 86%; 6 studies, 846 patients).</p>
<p>The incidence of technical failure in the re-repair and MVR groups was reported in four studies (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>). The incidence of technical failure was higher in the re-repair group, but the difference was not significant (OR: 2.66; 95% CI: 1.02&#x02013;6.93; <italic>P</italic> =0.05; I<sup>2</sup> = 82%; 4 studies, 615 patients) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Mode of mitral valve repair failure. <bold>(A)</bold> Incidence of technical failure of the entire cohort; <bold>(B)</bold> incidence of technical failure in the re-repair and MVR groups. SE, standard error; IV, inverse variance; CI, confidence interval; M-H, Mantel-Haenszel; MVR, mitral valve replacement.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-868980-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Perioperative Outcomes</title>
<p>The pooled mitral valve re-repair rate was 36% (RD 0.36; 95% CI: 0.26&#x02013;0.46; <italic>P</italic> = 0; I<sup>2</sup> = 91%; 8 studies; 938 patients).</p>
<p>Mean aortic cross-clamp time was reported by three studies (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>) and was shorter in the re-repair group, but the difference was not significant (MD = &#x02212;11.5 min; 95% CI: &#x02212;23.03&#x02013;0.02; <italic>P</italic> =0.05; I<sup>2</sup> = 82%; 3 studies, 470 patients).</p>
<p>Perioperative mortality was reported in all the studies, including two studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B19">19</xref>) without perioperative death. The pooled data of the other six studies (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>) showed significantly lower perioperative mortality in the re-repair group than in the MVR group (RR: 0.22; 95% CI:0.07&#x02013;0.66; I<sup>2</sup> = 0%; <italic>P</italic> = 0.008; 6 studies, 824 patients).</p>
<p>Major perioperative morbidities were reported in two studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). There was a significant difference in the risk of acute kidney injury (AKI) (RR: 0.18; 95% CI:0.05&#x02013;0.67; I<sup>2</sup> = 0%; <italic>P</italic> = 0.01; 2 studies, 384 patients, but not in stroke (RR: 0.37; 95% CI:0.06&#x02013;2.34; I<sup>2</sup> = 0%; <italic>P</italic> = 0.29; 2 studies, 384 patients) and reoperation for bleeding (RR: 0.33; 95% CI:0.1&#x02013;1.09; I<sup>2</sup> = 0%; <italic>P</italic> = 0.07; 2 studies, 384 patients). There was no significant difference in length of hospital stay (MD = &#x02212;0.96 d; 95% CI: &#x02212;4.43&#x02013;2.5; <italic>P</italic> = 0.59; I<sup>2</sup> = 68%; 2 studies, 384 patients) (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>). Low cardiac output syndrome, blood transfusion, mediastinitis, and other morbidities were not pooled because of heterogeneity in the diagnostic criteria.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Perioperative outcomes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Tech failure</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Cross-clamp time (min)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Perioperative</bold><break/> <bold>AKI (%)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Perioperative</bold><break/> <bold>stroke (%)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Reoperation for</bold><break/> <bold>bleeding (%)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Perioperative</bold><break/> <bold>Mortality (%)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Hospital stays</bold><break/> <bold>(Day)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Suri et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">36 (56%)</td>
<td valign="top" align="center">25 (31%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">1 (1.6%)</td>
<td valign="top" align="center">4 (4.9%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Dumont et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="center" colspan="2">96 (51%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center" colspan="2">6 (3.2%)</td>
<td valign="top" align="center" colspan="2">9 (4.8%)</td>
<td valign="top" align="center" colspan="2">10 (5.3%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">8 (6.6%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Zegdi et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center" colspan="2">24 (56%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center" colspan="2">0</td>
<td valign="top" align="center" colspan="2">0</td>
<td valign="top" align="center" colspan="2">1 (2.3%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2 (9.1%)</td>
<td valign="top" align="center" colspan="2">11 (5&#x02013;28)</td>
</tr>
<tr>
<td valign="top" align="left">Nishida et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">14 (61%)</td>
<td valign="top" align="center">6 (10%)</td>
<td valign="top" align="center">108 &#x000B1; 11</td>
<td valign="top" align="center">111 &#x000B1; 7</td>
<td valign="top" align="center" colspan="2">2 (2.3%)</td>
<td valign="top" align="center" colspan="2">3 (3.5%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (1.6%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Kilic et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">23(47.5%)</td>
<td valign="top" align="center">76 (29.5%)</td>
<td valign="top" align="center">100 &#x000B1; 51</td>
<td valign="top" align="center">132 &#x000B1; 65</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">11 (4.2%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9 (3.5%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">15 (6%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">21 (8%)</td>
<td valign="top" align="center">11.6 &#x000B1; 10.9</td>
<td valign="top" align="center">14.7 &#x000B1; 14.5</td>
</tr>
<tr>
<td valign="top" align="left">Noack et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">19 (100%)</td>
<td valign="top" align="center">38 (100%)</td>
<td valign="top" align="center" colspan="2">59 &#x000B1; 33</td>
<td valign="top" align="center" colspan="2">4 (7.0%)</td>
<td valign="top" align="center" colspan="2">2 (3.5%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">1 (2.6%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Trumello et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">16 (41%)</td>
<td valign="top" align="center">20 (50%)</td>
<td valign="top" align="center">52 &#x000B1; 15</td>
<td valign="top" align="center">60 &#x000B1; 19</td>
<td valign="top" align="center">2 (5.1%)</td>
<td valign="top" align="center">12 (30%)</td>
<td valign="top" align="center">1 (2.6%)</td>
<td valign="top" align="center">2 (5%)</td>
<td valign="top" align="center">3 (8.1%)</td>
<td valign="top" align="center">7 (18%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">7 (5&#x02013;11)</td>
<td valign="top" align="center">7 (5&#x02013;9.5)</td>
</tr>
<tr>
<td valign="top" align="left">El-Eshmawi et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center" colspan="2">107.2 &#x000B1; 28.4</td>
<td valign="top" align="center" colspan="2">0</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">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center" colspan="2">10 (7&#x02013;15)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MVR, mitral valve replacement; LVEF, left ventricular ejection fraction; LVEDD, left ventricular end-diastolic dimension; AKI, acute kidney injury</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Perioperative outcomes. <bold>(A)</bold> Re-repair rate for the entire cohort; <bold>(B)</bold> aortic cross-clamp time; <bold>(C)</bold> perioperative mortality; <bold>(D)</bold> AKI; <bold>(E)</bold> stroke; <bold>(F)</bold> reoperation for bleeding; <bold>(G)</bold> postoperative hospital stay. SE, standard error; IV, inverse variance; CI, confidence interval; M-H, Mantel-Haenszel; MVR, mitral valve replacement; AKI, acute kidney injury.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-868980-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Long-Term Outcomes</title>
<p>Follow-up reoperation was reported in six studies (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>) and was significantly higher in the re-repair group (RR: 2.11; 95% CI: 1.03&#x02013;4.28; I<sup>2</sup> = 0%; <italic>P</italic> = 0.04; 6 studies, 802 patients).</p>
<p>Follow-up death was reported in six studies (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>) and was significantly lower in the re-repair group (RR: 0.23; 95% CI: 0.13&#x02013;0.4; I<sup>2</sup> = 0%; <italic>P</italic> = 0; 6 studies, 488 patients). In addition, re-repair was associated with significantly lower long-term mortality when HR was pooled for analysis (HR: 0.42; 95% CI: 0.3&#x02013;0.58; I<sup>2</sup> = 0%; <italic>P</italic> = 0; 7 studies, 903 patients). Finally, increase in long-term survival was observed in studies that only reported degenerative diseases (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>) (HR 0.34; 95% CI: 0.23&#x02013;0.51; I<sup>2</sup> = 12%; <italic>P</italic> = 0.00; 4 studies, 462 patients). Pooled data from studies reporting mixed pathological types (<xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>) showed lower long-term mortality in the re-repair group but without significant difference (HR: 0.62; 95% CI: 0.36&#x02013;1.07; I<sup>2</sup> = 0%; <italic>P</italic> = 0.09; 3 studies, 441 patients) (<xref ref-type="table" rid="T4">Table 4</xref>; <xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Long-term outcomes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>MR Recurrence</bold><break/> <bold>&#x02265;Moderate</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Event: Redo (%)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Freedom form</bold><break/> <bold>Redo (%)</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Event: Death (%)</bold></th>
<th valign="top" align="center" colspan="3" style="border-bottom: thin solid #000000;"><bold>Survival (%)</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Significant difference</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Re-repair</bold></th>
<th valign="top" align="center"><bold>MVR</bold></th>
<th valign="top" align="center"><bold>Significant difference</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Suri et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">6<break/> (9.4%)</td>
<td valign="top" align="center">1<break/> (1.2%)</td>
<td valign="top" align="center">83%,<break/> 5 y</td>
<td valign="top" align="center">93%, 5y for entire cohort</td>
<td/>
<td valign="top" align="center" colspan="2">31<break/> (21.4%)</td>
<td valign="top" align="center">76%,<break/> 5 y</td>
<td valign="top" align="center">60%,<break/> 5 y</td>
<td valign="top" align="center"><bold>Yes</bold><break/> <bold>(</bold><italic><bold>P</bold></italic> <bold>&#x0003D;</bold> <bold>0.05)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Dumont et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">4<break/> (5.9%)</td>
<td valign="top" align="center">8<break/> (6.7%)</td>
<td valign="top" align="center">93%, 10 y</td>
<td valign="top" align="center">87%, 10 y</td>
<td/>
<td valign="top" align="center">6<break/> (8.8%)</td>
<td valign="top" align="center">45<break/> (37.5%)</td>
<td valign="top" align="center">81%, 12 y</td>
<td valign="top" align="center">45%, 12y</td>
<td valign="top" align="center"><bold>Yes</bold><break/> <bold>(</bold><italic><bold>P</bold></italic> <bold>&#x0003C;</bold> <bold>0.0001)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Zegdi et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">2<break/> (9.5%)</td>
<td valign="top" align="center">0<break/> (0%)</td>
<td valign="top" align="center">3<break/> (14.3%)</td>
<td valign="top" align="center">1<break/> (4.5%)</td>
<td valign="top" align="center">95%,<break/> 7 y</td>
<td valign="top" align="center">95%,<break/> 7 y</td>
<td/>
<td valign="top" align="center">1<break/> (4.8%)</td>
<td valign="top" align="center">7<break/> (31.8%)</td>
<td valign="top" align="center">95%,<break/> 7 y</td>
<td valign="top" align="center">69%,<break/> 7 y</td>
<td valign="top" align="center"><bold>Yes</bold><break/> <bold>(</bold><italic><bold>P</bold></italic> <bold>&#x0003D;</bold> <bold>0.011)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nishida et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">2<break/> (8.7%)</td>
<td valign="top" align="center">0<break/> (0%)</td>
<td valign="top" align="center">1<break/> (4.3%)</td>
<td valign="top" align="center">2<break/> (3.2%)</td>
<td valign="top" align="center">95.7%,<break/> 5 y</td>
<td valign="top" align="center">98.3%,<break/> 5 y</td>
<td valign="top" align="center">No<break/> (log rank = 0.94)</td>
<td valign="top" align="center">1<break/> (4.3%)</td>
<td valign="top" align="center">13<break/> (20.6%)</td>
<td valign="top" align="center">100%, 5y</td>
<td valign="top" align="center">82%,<break/> 5 y</td>
<td valign="top" align="center"><bold>Yes</bold><break/> <bold>(log rank</bold> <bold>&#x0003D;</bold> <bold>0.039)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Kilic et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1<break/> (2.1%)</td>
<td valign="top" align="center">3<break/> (1.2%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">78%,<break/> 5 y</td>
<td valign="top" align="center">68%, 5y</td>
<td valign="top" align="center">No<break/> (<italic>P</italic> = 0.29)</td>
</tr>
<tr>
<td valign="top" align="left">Noack et al. (<xref ref-type="bibr" rid="B18">18</xref>)</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">-</td>
<td valign="top" align="center">-</td>
<td/>
<td valign="top" align="center">3<break/> (15.8%)</td>
<td valign="top" align="center">18<break/> (47.4%)</td>
<td valign="top" align="center">79.1%,<break/> 5 y</td>
<td valign="top" align="center">70.9%,<break/> 5 y</td>
<td valign="top" align="center">No<break/> (<italic>P</italic> = 0.366)</td>
</tr>
<tr>
<td valign="top" align="left">Trumello et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">29.2%,<break/> 8 y</td>
<td valign="top" align="center">0%,<break/> 8 y</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">6<break/> (15%)</td>
<td valign="top" align="center">100%,<break/> 8 y</td>
<td valign="top" align="center">96.5%,<break/> 8 y</td>
<td valign="top" align="center">No<break/> (<italic>P</italic> = 0.069)</td>
</tr>
<tr>
<td valign="top" align="left">El-Eshmawi et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">2<break/> (15.4%)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td/>
<td valign="top" align="center">0</td>
<td valign="top" align="center">2<break/> (9.1%)</td>
<td valign="top" align="center" colspan="2">93.5%,<break/> 5y for<break/> entire cohort</td>
<td valign="top" align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>MVR, mitral valve replacement; MR, mitral regurgitation. The bold values indicate significantly difference</italic>.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Long-term outcomes. <bold>(A)</bold> Reoperation; <bold>(B)</bold> follow-up death, risk ratio pooled; <bold>(C)</bold> follow-up mortality, hazard ratio pooled. O-E, Observed minus expected events; IV, inverse variance; CI, confidence interval; M-H, Mantel-Haenszel; MVR, mitral valve replacement.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-868980-g0004.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this systematic review and meta-analysis, the major finding was that re-repair for failed previous MVr was associated with significantly improved perioperative and long-term survival. This is the first systematic review and meta-analysis that focused on optimal treatment for failed previous MVr. Veerappan et al. (<xref ref-type="bibr" rid="B23">23</xref>) included a second cross-clamp under reinstituted cardiopulmonary bypass (<xref ref-type="bibr" rid="B32">32</xref>) and redo after MVR (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<sec>
<title>Advantages of Re-repair</title>
<p>The pooled data in our meta-analysis suggested that mitral valve re-repair was associated with significantly lower perioperative mortality (<italic>P</italic> = 0.008). For primary surgery, perioperative mortality was significantly lower for MVr than for MVR in both unmatched and matched populations (<italic>P</italic> &#x0003C; 0.001) (<xref ref-type="bibr" rid="B4">4</xref>). This was similar to that of reoperative mitral valve surgery. Kwedar et al. analyzed data from Medicare and found that hospital mortality was 9.8% for re-repair, 12.7% for MVR with bioprosthesis, and 12.2% for MVR with mechanical prosthesis (<xref ref-type="bibr" rid="B33">33</xref>). Re-repair has lower perioperative morbidity (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Relatively simple techniques and preservation of the subvalvular apparatus might contribute to the improved short-term outcomes.</p>
<p>Mitral valve re-repair significantly improved late survival in our meta-analysis (RR and HR, <italic>P</italic> = 0) despite the higher risk of a third reoperation (<italic>P</italic> = 0.04). Even in institutes with a &#x0201C;very low threshold for re-repair&#x0201D; and high re-repair rate, re-repair has excellent survival and durability (<xref ref-type="bibr" rid="B24">24</xref>). A previous meta-analysis found similar long-term survival between re-repair and MVR, but a second cross-clamp under reinstituted cardiopulmonary bypass was included in the study (<xref ref-type="bibr" rid="B23">23</xref>). In a subgroup analysis of studies that did not specify the pathology, the long-term benefit of re-repair was not significant (<italic>P</italic> = 0.09). However, Aphra et al. reported that patients with rheumatic mitral valve disease showed excellent survival after re-repair, although there was a certain risk of failure over time (<xref ref-type="bibr" rid="B35">35</xref>). In addition, patients who underwent re-repair had significantly better ejection fractions and smaller LV end-systolic dimensions during follow-up (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Thus, mitral valve re-repair was associated with better immediate and sustained outcomes and should be recommended if technically feasible.</p>
</sec>
<sec>
<title>Feasibility of Re-repair</title>
<p>The pooled mitral valve re-repair rate of the studies was 36% (95% CI 0.26&#x02013;0.46), ranging from 16 to 49%. Anyanwu et al. reported a systemic strategy to re-repair in all cases, and the re-repair rate was 85% (90% for degenerative disease) (<xref ref-type="bibr" rid="B24">24</xref>). Even mitral stenosis after MVr could be re-repaired in an experienced mitral valve reference center (<xref ref-type="bibr" rid="B19">19</xref>). Several factors can influence the decision to re-repair. When analyzing the mode of repair failure and valve structure, the surgeon should keep in mind that both early and long-term survival would be improved if durable re-repair could be achieved.</p>
<p>In studies that reported re-repair procedures in detail (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B35">35</xref>), the most frequently used techniques include leaflet resection, ring removal/annuloplasty, edge-to-edge repair, and neochordae. Simple techniques such as edge-to-edge repair may be an effective choice (<xref ref-type="bibr" rid="B36">36</xref>). The technique should be selected based on individual mitral valve lesions, while the basic principles and steps of MVr outlined by Carpentier should always be adhered to.</p>
<p>It is not clear what kind of repair failure is suitable for re-repair with long-term durability. Our meta-analysis suggested that the percentage of technical failure might be higher in the re-repair group. This suggests that re-repair should be considered if there is a definite lesion in the previously repaired location.</p>
</sec>
<sec>
<title>Implications for Percutaneous Transcatheter Procedures</title>
<p>Percutaneous transcatheter procedures have been increasingly used for failed MVr in selected patients, including mitral clips (<xref ref-type="bibr" rid="B20">20</xref>), neochords (<xref ref-type="bibr" rid="B21">21</xref>), and valve-in-rings (<xref ref-type="bibr" rid="B22">22</xref>). However, the current literature is limited by the small number of patients and short follow-up period. There is a paucity of data on the long-term outcomes of these interventional procedures. Our meta-analysis suggested that transcatheter MVr might be chosen over transcatheter mitral valve replacement.</p>
</sec>
<sec>
<title>Limitations</title>
<p>Our meta-analysis has several limitations. First, there were only limited studies comparing the long-term survival of re-repair and MVR. The included studies were retrospective and observational, with relatively small sample sizes. Second, there was significant heterogeneity among the included studies regarding the patients&#x00027; baseline characteristics and outcomes. Third, there was no uniform standard for selecting re-repair or MVR, and the surgical approach was selected based on the experience of the surgeon or institution. Fourth, most of the studies included in the meta-analysis focused on reintervention and survival, and few studies reported on the follow-up functional status and echocardiographic evaluation. Finally, the studies included mainly patients with degenerative mitral regurgitation. The optimal treatment for rheumatic and infective disease has yet to be studied.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Mitral valve re-repair should be recommended for failed MVr if technically feasible, because re-repair has improved perioperative and long-term results compared with MVR.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>ZZ and SL conceived and designed the study. ZZ, HX, and WS collected and analyzed the data and wrote the manuscript. ZZ, HX, WS, and SL reviewed and edited the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>This study was funded by the Capital Science and Technology Program, Beijing (Grant no: Z201100005520005).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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> 
</body>
<back><sec sec-type="supplementary-material" id="s10">
<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.2022.868980/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.868980/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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