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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.2024.1383470</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>Correlation between thrombocytopenia and adverse outcomes in patients with atrial fibrillation: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Ding</surname><given-names>Qiuhua</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Xu</surname><given-names>Wenlin</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Chen</surname><given-names>Yaoyao</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Chang</surname><given-names>Sijie</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/2287905/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zhang</surname><given-names>Jinhua</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x2021;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/634979/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff><institution>Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics &#x0026; Gynecology and Pediatrics, Fujian Medical University</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Dimitris Tsiachris, Athens Medical Center, Greece</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Ageliki Laina, National and Kapodistrian University of Athens, Greece</p>
<p>Athanasios Kordalis, Hippokration General Hospital, Greece</p>
<p>Michail Botis, Hippokration General Hospital, Greece, in collaboration with reviewer AK</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jinhua Zhang <email>pollyzhang2006@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn001"><label><sup>&#x2021;</sup></label><p>ORCID Jinhua Zhang <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-5629-0348">orcid.org/0000-0002-5629-0348</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub"><day>03</day><month>12</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>11</volume><elocation-id>1383470</elocation-id>
<history>
<date date-type="received"><day>18</day><month>02</month><year>2024</year></date>
<date date-type="accepted"><day>28</day><month>10</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Ding, Xu, Chen, Chang and Zhang.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Ding, Xu, Chen, Chang and Zhang</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Background</title>
<p>Thrombocytopenia is often associated with adverse outcomes in patients with atrial fibrillation. Therefore, we conducted a meta-analysis to comprehensively assess the impact of thrombocytopenia on ischemic stroke/systemic embolism, major bleeding and all-cause mortality in patients with atrial fibrillation.</p>
</sec><sec><title>Methods</title>
<p>Two electronic databases, PubMed and Web of Science, were systematically searched from their inception to December 1, 2023, including the studies on the correlation between atrial fibrillation patients with thrombocytopenia and adverse outcomes. Relevant data was extracted, literature quality was evaluated, meta-analysis was performed by using REVMAN 5.4 software, and the results were reported with odds ratio (OR) of 95&#x0025; confidence interval (CI).</p>
</sec><sec><title>Results</title>
<p>A total of 12 studies included 73,824 patients with atrial fibrillation (average age: 72.67, males: 42,275, 57.3&#x0025;), among them, there were 7,673 patients combined with thrombocytopenia. The average follow-up time of these studies was 87 days to 55 months. Compared to no thrombocytopenia, atrial fibrillation patients combined with thrombocytopenia have a significant risk reduction of ischemic stroke/systemic embolism [OR: 0.79, 95&#x0025; CI: (0.69, 0.91); <italic>P</italic>&#x2009;&#x003C;&#x2009;0.01]. Nevertheless, the risk of both major bleeding [OR: 1.51, 95&#x0025; CI: (1.20, 1.79), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.01] and all-cause mortality [OR: 1.40, 95&#x0025; CI: (1.23, 1.61); <italic>P</italic>&#x2009;&#x003C;&#x2009;0.01] is significantly higher in thrombocytopenia group.</p>
</sec><sec><title>Conclusions</title>
<p>Thrombocytopenia has an important impact on the prognosis of patients with atrial fibrillation. Thrombocytopenia is significantly associated with a lower risk of ischemic stroke/systemic embolism but a higher risk of major bleeding and all-cause mortality. Attention to thrombocytopenia and optimization of treatment may be the effective way to improve the prognosis of atrial fibrillation with thrombocytopenia.</p>
</sec><sec><title>Systematic Review Registration</title>
<p><uri xlink:href="https://www.crd.york.ac.uk/">https://www.crd.york.ac.uk/</uri>, PROSPERO Registration Number: (CRD42023459916).</p>
</sec>
</abstract>
<kwd-group>
<kwd>atrial fibrillation</kwd>
<kwd>thrombocytopenia</kwd>
<kwd>adverse outcomes</kwd>
<kwd>ischemic stroke/systemic embolism</kwd>
<kwd>major bleeding</kwd>
<kwd>all-cause mortality</kwd>
</kwd-group><counts>
<fig-count count="9"/>
<table-count count="1"/><equation-count count="0"/><ref-count count="56"/><page-count count="12"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>General Cardiovascular Medicine</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="background"><label>1</label><title>Background</title>
<p>Atrial fibrillation (AF) is the most common persistent arrhythmia, with serious complications such as thromboembolism, stroke and heart failure. AF also significantly increases risks of myocardial infarction, cognitive dysfunction, dementia and death, which seriously affects AF patients&#x2019; quality of life (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). The treatment of AF, besides controlling rhythm and ventricular rate, the most important thing is to prevent stroke. The use of anticoagulants is one of the main management measures for AF (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Although anticoagulant therapy can reduce the occurrence of thromboembolic events, it is often accompanied by a certain risk of bleeding. Particularly for some patients with high bleeding risk such as AF with thrombocytopenia, the use of anticoagulants lacks safety data, and this therapeutic measure will face great challenges.</p>
<p>CHA&#x2082;DS&#x2082;-VASC scoring tool and HAS-BLED prediction model have been widely used for stratifying risk assessment of thromboembolism or hemorrhage in atrial fibrillation (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Nevertheless, other clinical features which are not included in these scores may also be the risk factors for thromboembolism or hemorrhage in patients with AF or Nonvalvular Atrial Fibrillation (NVAF), such as abnormal platelet count (<xref ref-type="bibr" rid="B7">7</xref>), low body weight or body mass index (BMI) (<xref ref-type="bibr" rid="B8">8</xref>), low creatinine clearance (CrCl) value (<xref ref-type="bibr" rid="B9">9</xref>) etc. Of particular noteworthy, various studies have shown that abnormal platelet levels may affect the clinical outcome of AF patients (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Platelets are produced by the bone marrow, and platelet count (PLT) is one of the main markers of platelet activity, which are often used to judge the bleeding condition or thrombotic disease in clinic. There are no clear data on the prevalence of AF with thrombocytopenia, and the 2023 ACC/AHA/ACCP/HRS guideline for the diagnosis and management of atrial fibtrllation do not provide any treatment recommendations for AF patients with thrombocytopenia (<xref ref-type="bibr" rid="B13">13</xref>). Moreover, these subjects were excluded from large randomized trials of oral anticoagulants, and current studies on the correlation between platelet levels and adverse AF outcomes also showed conflicting conclusions (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Therefore, there are many uncertainties and clinical risks with the treatment and management of this particular group of AF patients.</p>
<p>At present, the study on the correlation between patients with AF and thrombocytopenia has been insufficient, and no systematic review and meta-analysis has summarized the possible adverse outcomes of ischemic stroke/systemic embolism, major bleeding and all-cause mortality in this particular population. Therefore, we conducted a systematic review and meta-analysis of current relevant studies on patients with AF and thrombocytopenia to comprehensively evaluate the impact of thrombocytopenia on adverse outcomes in AF, so as to provide guidance for clinical treatment of AF complicated with thrombocytopenia.</p>
</sec>
<sec id="s2"><label>2</label><title>Method</title>
<p>This systematic review and meta-analysis was conducted under the Preferred Reporting Project (PRISMA) (<xref ref-type="bibr" rid="B16">16</xref>), registration number: CRD 42023459916.</p>
<sec id="s2a"><label>2.1</label><title>Search strategy</title>
<p>Searching PubMed and Web of Science databases for conducting literature search till December 1, 2023 (see the flow chart in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> for the complete searching strategy), with no restrictions on publication status. For a comprehensive literature search, we also manually search for the references included in studies, review articles, and editorials/letters.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Flow chart of the search strategy.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g001.tif"/>
</fig>
</sec>
<sec id="s2b"><label>2.2</label><title>Inclusion and exclusion criteria</title>
<p>Inclusion criteria: (1). Retrospective or prospective cohort study; (2). Patients with AF and concurrent thrombocytopenia; (3). The study reported the platelet level of the patient, which was in line with the diagnostic criteria for thrombocytopenia provided by the international consensus report (<xref ref-type="bibr" rid="B17">17</xref>): Thrombocytopenia is usually defined as platelet count less than 100&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L in Asian; In Europe and America, thrombocytopenia is usually defined as platelet count less than 150&#x2009;&#x00D7;&#x2009;10<sup>9</sup>/L. (4). Studies have reported the correlation between thrombocytopenia as well as one or more of the following outcomes: ischemic stroke/systemic embolism, bleeding events or mortality in AF.</p>
<p>Exclusion criteria: (1). Full text cannot be obtained; (2). Non-English literature; (3). The definition of thrombocytopenia is not international standardized; (4). No clinical outcomes were reported in AF.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data extraction</title>
<p>Data and literature were collected and extracted independently by two reviewers (QD and WX), and if there was any dispute, it would be discussed and resolved by a third researcher to reach a consensus. From each study, we extracted the study type, treatment, study population, average age, male proportion, country, follow-up period and outcome indicator (ischemic stroke/systemic embolism, bleeding events, mortality etc.).</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Quality evaluation</title>
<p>The Newcastle-Ottawa scale was used to measure three aspects of a study: selection of subjects, comparability between groups, and outcome measurement. Except for comparability, which can score up to 2 points, the rest are 1 point, the highest score is 9 points, 7 to 9 means high quality, 4 to 6 means medium quality, and the score below 4 means low quality.</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Clinical outcomes</title>
<sec id="s2e1"><label>2.5.1</label><title>Primary outcome</title>
<p>&#x2460;Schemic stroke/systemic embolism: schemic stroke or systemic embolism.</p>
<p>Schemic stroke (<xref ref-type="bibr" rid="B18">18</xref>): Schemic stroke are caused by narrowing or clogging of arteries leading to the brain, or by a blood clot or piece of debris breaking away from a blood vessel and causing a blockage in one of the brain arteries, is the most common type of stroke.</p>
<p>Systemic embolism (<xref ref-type="bibr" rid="B19">19</xref>): Systemic embolism was defined as signs and symptoms of peripheral ischemia associated with a positive imaging test result.</p>
<p>&#x2461;Major bleeding (<xref ref-type="bibr" rid="B20">20</xref>): Bleeding leading to a&#x2009;&#x2265;&#x2009;2&#x2005;g/dl fall in hemoglobin or a transfusion of &#x2265;2 units of packed red blood cells or whole blood; Bleeding into a critical site (intracranial, intraspinal, intraocular, retropertoneal, intra-anicwlar, pericardia, or intramuscular with compartment syndrome), or Bleeding leading to death.</p>
<p>&#x2462;All-cause mortality: All-cause mortality is defined as death from any cause (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
<sec id="s2e2"><label>2.5.2</label><title>Secondary outcome</title>
<p>&#x2460;Combined bleeding events: combined major, minor bleeding and clinically relevant non-major bleeding with other types of bleeding to evaluate the predictors of significant bleedings.</p>
<p>&#x2461;Minor bleeding (<xref ref-type="bibr" rid="B22">22</xref>): any other overt bleeding episodes not meeting the criteria for major bleeding or non-major clinically relevant bleeding events.</p>
<p>&#x2462;Gastrointestinal hemorrhage (<xref ref-type="bibr" rid="B23">23</xref>): bleeding of the digestive tract from the esophagus to the anus.</p>
<p>&#x2463;Intracranial hemorrhage (<xref ref-type="bibr" rid="B24">24</xref>): bleeding within the skull. Subtypes are intracerebral bleeds (intraventricular bleeds and intraparenchymal bleeds), subarachnoid bleeds, epidural bleeds, and subdural bleeds.</p>
<p>&#x2464;Clinically relevant non-major bleeding (<xref ref-type="bibr" rid="B25">25</xref>): any sign of hemorrhage that did not fulfill major bleeding criteria but met at least one of the following: required medical intervention, led to hospitalization, or prompted face to face evaluation.</p>
</sec>
</sec>
<sec id="s2f"><label>2.6</label><title>Statistical analysis</title>
<p>The analysis was performed by using REVMAN 5.4 and Stata 16.0 software, and CI was used as the combined effect size of the binary classification. Odds ratios (OR) were calculated for all outcomes using the pooled effect of each therapy according to the Mantel&#x2013;Haenszel method for random effects. [<italic>I</italic><sup>2</sup>] was used to evaluate the heterogeneity among the trials (<xref ref-type="bibr" rid="B26">26</xref>), <italic>I</italic><sup>2</sup>&#x2009;&#x2264;&#x2009;50&#x0025; indicated that there was no statistical heterogeneity among the studies, <italic>I</italic><sup>2</sup>&#x2009;&#x003E;&#x2009;50&#x0025; suggested that there was heterogeneity among studies. The publication bias of the literature included for outcome measures was assessed by Egger&#x0027;s test (<xref ref-type="bibr" rid="B27">27</xref>). <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Literature retrieval</title>
<p>The searching strategy had identified 5,223 studies (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>). Of these, 37 potentially relevant studies were identified for full text assessment. After excluding 25 studies, all the rest 12 studies met the inclusion criteria. In the report OR research, 10 studies examined the association between thrombocytopenia and ischemic stroke/systemic embolism, 9 studies examined the association between thrombocytopenia and major bleeding, and 7 studies examined the association between thrombocytopenia and all-cause mortality.</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Basic characteristics and quality evaluation of included studies</title>
<p>The 12 studies included in this systematic review has been analyzed, including 8 studies on Asian populations, 4 studies on European and American populations. A total of 73,824 patients with atrial fibrillation and thrombocytopenia were analyzed, with average age of 72.67, 57.3&#x0025; male, and the average follow-up ranging from 87 days to 55 months. The baseline characteristics of 12 studies included was shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>, The quality evaluation of 12 studies included was used by the Newcastle-Ottawa scale as <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline characteristics of each study included.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Authors</th>
<th valign="top" align="center">Study period</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">AF type</th>
<th valign="top" align="center">Administration</th>
<th valign="top" align="center">&#x00A0;Number of patients (n)</th>
<th valign="top" align="center">Age (mean, years)</th>
<th valign="top" align="center">Sex (male,&#x0025;)</th>
<th valign="top" align="center">Heart failure</th>
<th valign="top" align="center">Median follow-up (months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="4">Thrombocytopenia/Normal Platelet Count</th>
<th valign="top" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Agnieszka Janion-Sadowska et al.</td>
<td valign="top" align="left">January 2012&#x2013;July 2015</td>
<td valign="top" align="left">Poland</td>
<td valign="top" align="left">Prospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">NOACs</td>
<td valign="top" align="center">62/62</td>
<td valign="top" align="center">70.5/70.0</td>
<td valign="top" align="center">20 (32.3)/21 (33.9)</td>
<td valign="top" align="center">26 (41.9)/26 (41.9)</td>
<td valign="top" align="center">55</td>
</tr>
<tr>
<td valign="top" align="left">Chun-Li Wang et al.</td>
<td valign="top" align="left">2010&#x2013;2017</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">367/7872</td>
<td valign="top" align="center">78.6/76.9</td>
<td valign="top" align="center">209 (56.9)/4077 (51.8)</td>
<td valign="top" align="center">202 (55.0)/3159 (40.1)</td>
<td valign="top" align="center">46</td>
</tr>
<tr>
<td valign="top" align="left">Daniele Pastori et al.</td>
<td valign="top" align="left">2016&#x2013;2018</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Multicenter prospective cohort study</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">592/4623</td>
<td valign="top" align="center">75.6/74.9</td>
<td valign="top" align="center">431 (72.8)/2416 (52.3)</td>
<td valign="top" align="center">102 (17.2)/706 (15.3)</td>
<td valign="top" align="center">19.2</td>
</tr>
<tr>
<td valign="top" align="left">Eitaro Kodani et al.</td>
<td valign="top" align="left">2017&#x2013;2019</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="left">Prospective observational</td>
<td valign="top" align="left">NVAF</td>
<td valign="top" align="left">VKA or Antiplatelet</td>
<td valign="top" align="center">130/313</td>
<td valign="top" align="center">74.7/68.9</td>
<td valign="top" align="center">95 (73.1)/191 (61.0)</td>
<td valign="top" align="center">69 (53.1)/103 (32.9)</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">Jiesuck Park et al.</td>
<td valign="top" align="left">2000&#x2013;2013</td>
<td valign="top" align="left">Korea</td>
<td valign="top" align="left">Prospective cohort</td>
<td valign="top" align="left">NVAF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">2,656/8322</td>
<td valign="top" align="center">73.5/73.3</td>
<td valign="top" align="center">1,803 (67.9)/5174 (62.2)</td>
<td valign="top" align="center">424 (15.9)/1074 (12.9)</td>
<td valign="top" align="center">42.6</td>
</tr>
<tr>
<td valign="top" align="left">Tuomas Kiviniemi et al.</td>
<td valign="top" align="left">2011&#x2013;2012</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="left">Prospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">VKA or Antiplatelet</td>
<td valign="top" align="center">99/762</td>
<td valign="top" align="center">74/73</td>
<td valign="top" align="center">84 (85)/518 (68)</td>
<td valign="top" align="center">21 (21)/16 (21)</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">Varun Iyengar, et al.</td>
<td valign="top" align="left">2015&#x2013;2020</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">274/796</td>
<td valign="top" align="center">72/72</td>
<td valign="top" align="center">170 (62.0)/491 (61.7)</td>
<td valign="top" align="center">99 (36.1)/67 (8.4)</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">Wenlin Xu et al</td>
<td valign="top" align="left">2016&#x2013;2020</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">retrospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">NOACs</td>
<td valign="top" align="center">154/3804</td>
<td valign="top" align="center">68.7/62.9</td>
<td valign="top" align="center">82 (53.0)/2286 (60.1)</td>
<td valign="top" align="center">19 (12.4)/141 (3.7)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Xiaochun Zhang et al.</td>
<td valign="top" align="left">January 2016&#x2013;December 2018</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Prospective observational cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">DAPT or NOACs undergoing LAAO</td>
<td valign="top" align="center">32/160</td>
<td valign="top" align="center">69.4/69.2</td>
<td valign="top" align="center">8 (25.0)/43 (26.8)</td>
<td valign="top" align="center">2 (3.13)/5 (3.13)</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">Yoav Michowitz et al.</td>
<td valign="top" align="left">June 2006&#x2013;January 2018</td>
<td valign="top" align="left">Israel</td>
<td valign="top" align="left">Monocentric observational retrospective</td>
<td valign="top" align="left">NVAF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">1,617/9739</td>
<td valign="top" align="center">78.7/76.6</td>
<td valign="top" align="center">1,163 (71.9)/4893 (50.2)</td>
<td valign="top" align="center">579 (35.8)/2846 (29.2)</td>
<td valign="top" align="center">40.6</td>
</tr>
<tr>
<td valign="top" align="left">Yung-Hsin Yeh et al.</td>
<td valign="top" align="left">July 2001&#x2013;September 2018</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Retrospective cohort</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">OACs</td>
<td valign="top" align="center">1,665/29147</td>
<td valign="top" align="center">74.5/70.6</td>
<td valign="top" align="center">841 (50.5)/17024 (58.4)</td>
<td valign="top" align="center">92 (5.54)/887 (3.04)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Yurong Xiong et al.</td>
<td valign="top" align="left">February 2015&#x2013;December 2017</td>
<td valign="top" align="left">China</td>
<td valign="top" align="left">Multicenter, prospective and observational</td>
<td valign="top" align="left">NVAF</td>
<td valign="top" align="left">Dabigatran after radiofrequency ablation</td>
<td valign="top" align="center">25/551</td>
<td valign="top" align="center">63.8/62.8</td>
<td valign="top" align="center">216 (66.9)/216 (66.9)</td>
<td valign="top" align="center">5 (20.0)/36 (11.1)</td>
<td valign="top" align="center">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>NOACs, new oral anticoagulants; VKA, warfarin; OACs, oral anticoagulants, including warfarin; NOACs, antiplatelet, aspirin, clopidogrel; DAPT, dual platelet therapy; LAAO, left atrial appendage occlusion.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3</label><title>Association between thrombocytopenia and ischemic stroke/systemic embolism</title>
<p>A total of 10 studies with 63,005 participants involved examined the association between thrombocytopenia and ischemic stroke/systemic embolism (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). Thrombocytopenia was significantly associated with a lower risk of ischemic stroke/systemic embolism in patients with AF [OR: 0.79, 95&#x0025; CI: (0.69, 0.91), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0008], with low heterogeneity ([<italic>I</italic><sup>2</sup>]&#x2009;&#x003D;&#x2009;10&#x0025;). The Egger&#x0027;s test revealed no evidence of publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0891). Given that the impact of different anticoagulant regimens on outcomes, we performed a subgroup analysis of ischemic stroke/systemic embolism according to the anticoagulant regimen [OR: 0.79, 95&#x0025; CI: (0.68 &#x2212;0.91), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.002] (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>), which are concurred with the overall analysis.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Association of thrombocytopenia and ischemia stroke/systemic embolism.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g002.tif"/>
</fig>
</sec>
<sec id="s3d"><label>3.4</label><title>Association between thrombocytopenia and major bleeding</title>
<p>A total of 9 studies with 57,055 participants involved examined the association between thrombocytopenia and major bleeding (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). Thrombocytopenia was significantly associated with a higher risk of major bleeding [OR: 1.51, 95&#x0025; CI: (1.20, 1.79), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0002], with not high heterogeneity ([<italic>I</italic><sup>2</sup>]&#x2009;&#x003D;&#x2009;41&#x0025;). Given the mild heterogeneity, we performed a sensitivity analysis to explore a cause of heterogeneity by excluding the study [Varun Iyengar et al. (<xref ref-type="bibr" rid="B10">10</xref>)], and found that thrombocytopenia compared with control was associated with a significant increased risk of major bleeding [OR: 1.34; 95&#x0025; CI: (1.18, 1.52), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.00001] (<xref ref-type="sec" rid="s11">Supplementary Figure S4</xref>), with not heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;0&#x0025;]. Meanwhile, we performed a subgroup analysis of major bleeding according to the anticoagulant regimen [OR: 1.47, 95&#x0025; CI: (1.20 &#x2212;1.79), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0002] (<xref ref-type="sec" rid="s11">Supplementary Figure S2</xref>), which is concurred with the overall analysis. The Egger&#x0027;s test revealed no evidence of publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.8912).</p>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Association of thrombocytopenia and major bleeding.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g003.tif"/>
</fig>
</sec>
<sec id="s3e"><label>3.5</label><title>Association between thrombocytopenia and combined bleeding events</title>
<p>A total of 6 studies with 28,799 participants involved examined the association between thrombocytopenia and combined bleeding events (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>). Thrombocytopenia was significantly associated with a higher risk of combined bleeding events in patients with AF [OR: 1.51, 95&#x0025; CI: (1.27, 1.81), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.00001], with not high heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;43&#x0025;]. The Egger&#x0027;s test showed publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0049), therefore, the result may be not very reliable in combined bleeding events.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Association of thrombocytopenia and bleeding events.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g004.tif"/>
</fig>
</sec>
<sec id="s3f"><label>3.6</label><title>Association between thrombocytopenia and minor bleeding</title>
<p>A total of 4 studies with 5,135 participants involved examined the association between thrombocytopenia and minor bleeding (<xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>). Overall, the risk of minor bleeding in AF combined with thrombocytopenia was similar to that in AF [OR: 1.59, 95&#x0025; CI: (0.79, 3.21), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.19], with significant heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;68&#x0025;]. Due to high heterogeneity, we performed the sensitivity analysis of minor bleeding, and found that thrombocytopenia was associated with a significant increased risk of minor bleeding [OR: 1.14; 95&#x0025; CI: (0.79, 1.66), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.49] compared with control group, with significant heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;0&#x0025;] by excluding the study (<xref ref-type="bibr" rid="B28">28</xref>) (<xref ref-type="sec" rid="s11">Supplementary Figure S5</xref>). The Egger&#x0027;s test revealed publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0024), therefore, the result is not very reliable in minor bleeding.</p>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Association of thrombocytopenia and minor bleeding.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g005.tif"/>
</fig>
</sec>
<sec id="s3g"><label>3.7</label><title>Association between thrombocytopenia and gastrointestinal hemorrhage</title>
<p>A total of 3 studies with 1,637 participants involved examined the association between thrombocytopenia and gastrointestinal hemorrhage (<xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref>). Overall, the risk of gastrointestinal hemorrhage in AF combined with thrombocytopenia was similar to that in AF [OR: 1.26, 95&#x0025; CI: (0.46, 2.94), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.74], with low heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;34&#x0025;].The Egger&#x0027;s test showed no evidence of publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.5394).</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Association of thrombocytopenia and gastrointestinal hemorrhage.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g006.tif"/>
</fig>
</sec>
<sec id="s3h"><label>3.8</label><title>Association between thrombocytopenia and intracranial hemorrhage</title>
<p>A total of 4 studies with 32,449 participants involved examined the association between thrombocytopenia and intracranial hemorrhage (<xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>). Overall, the risk of intracranial hemorrhage in AF combined with thrombocytopenia was similar to that in AF [OR: 1.21, 95&#x0025; CI: (0.85, 1.71), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.29], with no heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;0&#x0025;]. The Egger&#x0027;s test showed no evidence of publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.9933).</p>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Association of thrombocytopenia and intracranial hemorrhage.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g007.tif"/>
</fig>
</sec>
<sec id="s3i"><label>3.9</label><title>Association between thrombocytopenia and clinically relevant non-major bleeding</title>
<p>A total of 3 studies with 1637 participants involved examined the association between thrombocytopenia and clinically relevant non-major bleeding (<xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref>). Overall, the clinically relevant risk of non-major bleeding in AF combined with thrombocytopenia was similar to that in AF [OR: 1.59, 95&#x0025; CI: (0.54, 4.73), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.40]. Heterogeneity was relatively high [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;53&#x0025;]. Due to the high heterogeneity, we also conducted a sensitivity analysis by excluding the study [Eitaro Kodani et al. (<xref ref-type="bibr" rid="B29">29</xref>)] and found that thrombocytopenia was associated with a nonsignificant increased risk of clinically relevant non-major bleeding [OR: 0.99; 95&#x0025; CI: (0.65, 1.52)] compared with control group (<xref ref-type="sec" rid="s11">Supplementary Figure S6</xref>). The Egger&#x0027;s test displayed no evidence of publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0997).</p>
<fig id="F8" position="float"><label>Figure 8</label>
<caption><p>Association of thrombocytopenia and clinically relevant non-major bleeding.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g008.tif"/>
</fig>
</sec>
<sec id="s3j"><label>3.10</label><title>Association between thrombocytopenia and all-cause mortality</title>
<p>A total of 7 studies with 26,430 participants involved examined the association between thrombocytopenia and all-cause mortality (<xref ref-type="fig" rid="F9">Figure&#x00A0;9</xref>). Thrombocytopenia was significantly associated with a higher risk of all-cause mortality [OR: 1.40, 95&#x0025; CI: (1.23, 1.61), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.00001], with no significant heterogeneity [(<italic>I</italic><sup>2</sup>)&#x2009;&#x003D;&#x2009;12&#x0025;]. The Egger&#x0027;s test showed no publication bias (<xref ref-type="sec" rid="s11">Supplementary Table S2</xref>, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.2872). To better examine the relationship between thrombocytopenia and all-cause mortality, we also performed a subgroup analysis according to the anticoagulant regimen. We found that thrombocytopenia was significantly associated with a higher risk of all-cause mortality [OR: 1.40, 95&#x0025; CI: (1.23 &#x2212;1.61), <italic>P</italic>&#x2009;&#x003C;&#x2009;0.00001] (<xref ref-type="sec" rid="s11">Supplementary Figure S3</xref>), which is concurred with the overall analysis.</p>
<fig id="F9" position="float"><label>Figure 9</label>
<caption><p>Association of thrombocytopenia and all-cause mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1383470-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>At present, there are no abundant randomized studies on the relationship between the prognosis and PLT level in AF patients. Meanwhile, the studies on thrombocytopenia as a prognostic indicator in patients with AF are limited to a handful of observational studies or case reports, which also show conflicting results. Kodani (<xref ref-type="bibr" rid="B29">29</xref>) reported that platelet levels are not associated with any adverse outcomes in AF, whereas Park found that thrombocytopenia was associated with a lower risk of stroke but a higher risk of bleeding (<xref ref-type="bibr" rid="B30">30</xref>). Due to insufficient studies on the association between AF and thrombocytopenia, furthermore, no systematic review and meta-analysis has summarized the adverse outcomes of ischemic stroke/systemic embolism, bleeding events, and mortality that may occur in this particular AF population. Therefore, for the first time, we conducted a systematic review and meta-analysis of current studies on the association between AF outcomes and thrombocytopenia. In order to comprehensively elaborate the correlation between thrombocytopenia and prognosis in AF, and provide guidance for safer and more effective clinical management of AF complicated with thrombocytopenia.</p>
<p>So far, there are no clear epidemiological survey data to reveal the prevalence of AF with thrombocytopenia. This meta-analysis showed that patients with thrombocytopenia account for 10.39&#x0025; of the population with AF, which is consistent with the prevalence of thrombocytopenia reported in previous study ranging from 6&#x0025; to 24&#x0025; (<xref ref-type="bibr" rid="B31">31</xref>). In the present meta-analysis of 73,824 patients with AF, our main findings are as follows: (1). Thrombocytopenia is significantly associated with a higher risk of combined bleeding events and mortality; (2). Thrombocytopenia is significantly associated with a lower risk of ischemic stroke/systemic embolism; (3). Although it&#x0027;s not statistically significant, the thrombocytopenia might potentially increase the risk of minor bleeding, gastrointestinal hemorrhage, intracranial hemorrhage, and other clinically relevant non-major bleeding. In a word, the present study revealed that thrombocytopenia was closely associated with adverse clinical outcomes in patients with AF. Therefore, screening the comorbidities of AF patients and optimizing the treatment regimen of AF with thrombocytopenia may be an effective measure to reduce adverse outcomes in AF.</p>
<sec id="s4a"><label>4.1</label><title>Thrombocytopenia and ischemic stroke/systemic embolism</title>
<p>Platelets play a crucial role in the complex clotting process. They release clotting factors and activate the clotting pathway by aggregating in injured blood vessels, and eventually form thrombus (<xref ref-type="bibr" rid="B32">32</xref>). However, excessive or rapid formation of thrombus may cause vascular obstruction, affect blood circulation, even lead to ischemic stroke/systemic embolism, myocardial infarction and other serious thrombotic diseases (<xref ref-type="bibr" rid="B33">33</xref>). On the contrary, low platelet count or decreased coagulation function will increase the risk of bleeding (<xref ref-type="bibr" rid="B34">34</xref>). A study on the correlation between PLT counts and stroke occurrence and prognosis found that PLT counts were positively correlated with the risk of ischemic stroke, elevated platelet count (&#x003E;300&#x2009;&#x00D7;&#x2009;10&#x2079;/L) was a risk factor for ischemic stroke, and low PLT count (&#x003C;100&#x2009;&#x00D7;&#x2009;10&#x2079;/L) was associated with a reduced risk of ischemic stroke (<xref ref-type="bibr" rid="B35">35</xref>). Another study has found out the similar results, low platelet count (&#x003C;50&#x2009;&#x00D7;&#x2009;10&#x2079;/L) could reduce the risk of venous thromboembolism (<xref ref-type="bibr" rid="B36">36</xref>). This meta-analysis also found that AF patients with thrombocytopenia had a significantly reduced risk of ischemic stroke/systemic embolism compared to general AF, which is consistent with the conclusions of the above studies.</p>
<p>However, other studies observed that thrombocytopenia could not reduce thromboembolic events, especially in the case of AF complications (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Thrombocytopenia might be a causal factor in an ischemic stroke, a risk factor for hemorrhagic stroke (<xref ref-type="bibr" rid="B39">39</xref>). Due to limited data on AF patients with thrombocytopenia, whether low PLT can protect AF patients against ischemic stroke/systemic embolic events remains to be further studied.</p>
</sec>
<sec id="s4b"><label>4.2</label><title>Thrombocytopenia and major bleeding</title>
<p>The central role of platelets in the clotting process is self-evident. The decrease in platelet number or function will increase the clotting time, and the main clinical consequence is bleeding caused by impaired primary hemostatic function and platelet embolism formation (<xref ref-type="bibr" rid="B40">40</xref>). An observational study has confirmed that a lower platelet count was related with an increased risk of spontaneous bleeding (<xref ref-type="bibr" rid="B41">41</xref>). The key determinants of the anticoagulant bleeding rate in AF are age, previous thrombosis and bleeding events (<xref ref-type="bibr" rid="B42">42</xref>). Then, could platelet level be another determinant of bleeding events in AF? A previous research have verified that platelet level was an independent predictor of bleeding events (<xref ref-type="bibr" rid="B43">43</xref>). Moreover, the degree of thrombocytopenia was positively correlated with the risk of bleeding, more severe thrombocytopenia (&#x003C;75&#x2009;&#x00D7;&#x2009;10&#x2079;/L) was associated with an increased risk of major bleeding (<xref ref-type="bibr" rid="B10">10</xref>). Our meta-analysis similarly displayed that AF patients with thrombocytopenia had a significantly increased risk of bleeding events compared to AF patients without thrombocytopenia, which is consistent with the conclusions of previous cohort studies (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). We also found that AF patients with thrombocytopenia had a greater tendency to minor bleeding, gastrointestinal hemorrhage, intracranial hemorrhage, and clinically relevant non-major bleeding, although the correlation was not statistically significant, which might be due to the small number of studies we included, limited by the insufficient population. Future studies need to enroll more literature and conduct subgroup analysis according to the severity of thrombocytopenia, so as to obtain more accurate data for stratified prediction of bleeding risk in AF patients combined with thrombocytopenia.</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Thrombocytopenia and all-cause mortality</title>
<p>Thrombocytopenia can be divided into primary and acquired thrombocytopenia. Primary thrombocytopenia is mostly caused by chronic blood diseases. The causes of acquired thrombocytopenia may include trauma, surgery, infection, drugs, radiotherapy, immune dysfunction, and nutritional disorders (<xref ref-type="bibr" rid="B46">46</xref>). Multiple studies have shown a significant association between thrombocytopenia and increased risk of all-cause mortality (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). Particularly, another study showed that chronic kidney disease, active cancer, and liver cirrhosis, bone marrow disorders which are frequent features of patients with AF were significantly associated with thrombocytopenia (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>The risk of mortality in patients with AF is 1.5 to 1.9 times the mortality of the normal population (<xref ref-type="bibr" rid="B53">53</xref>), and the types of mortality can be divided into cardiovascular death and non-cardiovascular death. The risk factors mainly include infection, cancer, blood uric acid, diabetes, hypertension, myocardial infarction and heart failure (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). Although no studies investigated the specific reasons of mortality in AF with thrombocytopenia, the correlation between thrombocytopenia and mortality in AF may be mediated by thrombocytopenia affecting these major risk factors. The present meta-analysis found that AF patients with thrombocytopenia had a significant higher risk of mortality than AF patients without thrombocytopenia, which was consistent with previous studies. In addition, according to the research (<xref ref-type="bibr" rid="B56">56</xref>), the bleeding of AF patients was closely related to subsequent major unscrupulous cerebrovascular events (MACCE) and death, and preventing major bleeding could significantly avoid cardiovascular events and death. Our analysis has also shown similar results that AF complicated with thrombocytopenia had a significantly increased risk of bleeding events, major bleeding, and potentially increased risk of fatal bleeding such as intracranial hemorrhage, which might be one of the reasons of significantly increased risk of mortality in AF complicated with thrombocytopenia.</p>
<p>Therefore, thrombocytopenia increases the all-cause mortality. If AF is accompanied by thrombocytopenia, there is significant increase the additional mortality. Traditionally, the focus of improving the prognosis of AF is on preventing stroke, and anticoagulation therapy has been shown to significantly reduce thromboembolism and stroke-related mortality in AF (<xref ref-type="bibr" rid="B57">57</xref>). Our analysis suggests that screening and attention to comorbidities, such as thrombocytopenia, may be one of the effective ways to reduce the risk of mortality in patients combined with AF. What&#x0027;s more, the complex association between atrial fibrillation with thrombocytopenia and mortality needs further investigation.</p>
</sec>
</sec>
<sec id="s5"><label>5</label><title>Limitation</title>
<p>This systematic review and meta-analysis have some certain limitations: First, the number of studies and patients included were not enough, resulting in a lack of confidence in some outcome indicators, such as minor bleeding, gastrointestinal hemorrhage, intracranial hemorrhage and clinically relevant non-major bleeding, whose results were not statistically significant. Second, the baseline characteristics of patients are not uniform, study populations are from Asia, Europe or America. Therefore, the bias of unmeasured confounders may be present. Third, no high-quality RCT studies were available for inclusion in our analysis, further researches on this population are necessary to confirm the correlation between thrombocytopenia and prognosis in patients with AF.</p>
</sec>
<sec id="s6" sec-type="conclusions"><label>6</label><title>Conclusion</title>
<p>Thrombocytopenia has an important impact on the prognosis of patients with atrial fibrillation. Thrombocytopenia is significantly associated with a lower risk of ischemic stroke/systemic embolism but a higher risk of major bleeding and all-cause mortality. Attention to thrombocytopenia and optimization of treatment may be an effective way to improve the prognosis of atrial fibrillation with thrombocytopenia.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>QD: Writing &#x2013; review &#x0026; editing. WX: Methodology, Writing &#x2013; review &#x0026; editing. YC: Writing &#x2013; original draft. SC: Software, Writing &#x2013; review &#x0026; editing. JZ: Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2024.1383470/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2024.1383470/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data"><label>Supplementary Figure S1</label>
<caption><p>Subgroup analysis of Ischemia stroke/systemic embolism.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image1.png"/></supplementary-material>
<supplementary-material id="SD2" content-type="local-data"><label>Supplementary Figure S2</label>
<caption><p>Subgroup analysis of Major bleeding.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image2.png"/></supplementary-material>
<supplementary-material id="SD3" content-type="local-data"><label>Supplementary Figure S3</label>
<caption><p>Subgroup analysis of All-cause mortality.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image3.png"/></supplementary-material>
<supplementary-material id="SD4" content-type="local-data"><label>Supplementary Figure S4</label>
<caption><p>Sensitivity analysis of Major bleeding.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image4.png"/></supplementary-material>
<supplementary-material id="SD5" content-type="local-data"><label>Supplementary Figure S5</label>
<caption><p>Sensitivity analysis of Minor bleeding.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image5.png"/></supplementary-material>
<supplementary-material id="SD6" content-type="local-data"><label>Supplementary Figure S6</label>
<caption><p>Sensitivity analysis of clinically relevant non-major bleeding.</p></caption>
<media mimetype="image" mime-subtype="png" xlink:href="Image6.png"/></supplementary-material>
<supplementary-material id="SD7" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/></supplementary-material>
</sec>
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