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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1117254</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Administration of macrolide antibiotics increases cardiovascular risk</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wu</surname> <given-names>Yang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2129352/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bi</surname> <given-names>Wen-Tao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Qu</surname> <given-names>Li-Ping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Fan</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2169696/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kong</surname> <given-names>Xiang-Jun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1468697/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ji</surname> <given-names>Cheng-Cheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Xu-Miao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Yao</surname> <given-names>Feng-Juan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Li-Juan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1698107/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Cheng</surname> <given-names>Yun-Jiu</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2165011/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname> <given-names>Su-Hua</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2128710/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>NHC Key Laboratory of Assisted Circulation, Sun Yat-sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Cardiology, Guangzhou First People&#x2019;s Hospital, School of Medicine, South China University of Technology</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Medical Ultrasonics, The First Affiliated Hospital, Sun Yat-sen University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Serafino Fazio, Federico II University Hospital, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Michele Arcopinto, Federico II University Hospital, Italy; Gennadiy G. Taradin, Donetsk National Medical University, Ukraine</p></fn>
<corresp id="c001">&#x002A;Correspondence: Su-Hua Wu, <email>wusuhua@mail.sysu.edu.cn</email>; <email>wusuhua@hotmail.com</email></corresp>
<corresp id="c002">Yun-Jiu Cheng, <email>cheng831011@sina.com</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to General Cardiovascular Medicine, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1117254</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Wu, Bi, Qu, Fan, Kong, Ji, Chen, Yao, Liu, Cheng and Wu.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wu, Bi, Qu, Fan, Kong, Ji, Chen, Yao, Liu, Cheng and Wu</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>Background</title>
<p>The increased risk of cardiovascular events in patients prescribed macrolides has been subject to debate for decades.</p>
</sec>
<sec>
<title>Methods</title>
<p>Medline, EMBASE databases and <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link> were searched from inception until August 31, 2022 for studies investigating the link between macrolides and cardiovascular risk. A meta-analysis was performed using a random-effects model.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 80 studies involving 39,374,874 patients were included. No association was found between macrolides and all-cause death. However, compared with the non-macrolide group, macrolides were associated with a significantly increased risk of ventricular arrhythmia or sudden cardiac death (VA or SCD) (azithromycin, relative ratio [RR]: 1.53; 95% confidence interval [CI]: 1.19 to 1.97; clarithromycin, RR: 1.52; 95% CI: 1.07 to 2.16). Besides, administration of macrolides was associated with a higher risk of cardiovascular disease (CVD) death (azithromycin, RR: 1.63; 95% CI: 1.17 to 2.27) and a slightly increased risk of myocardial infarction (MI) (azithromycin, RR: 1.08; 95% CI: 1.02 to 1.15). Interestingly, no association was observed between roxithromycin and adverse cardiac outcomes. Increased risk of VA or SCD was observed for recent or current use of macrolides, MI for former use, and CVD death for current use.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Administration of macrolide antibiotics and timing of macrolide use are associated with increased risk for SCD or VTA and cardiovascular death, but not all-cause death.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sudden cardiac death</kwd>
<kwd>macrolide antibiotics</kwd>
<kwd>cardiovascular risk</kwd>
<kwd>meta-analysis</kwd>
<kwd>ventricular arrhythmia</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="36"/>
<page-count count="10"/>
<word-count count="5879"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Macrolide antibiotics represent an important class of orally active antibiotics that act as bacteriostatic agents, including azithromycin, erythromycin and clarithromycin. Among these, azithromycin is the most widely prescribed, with 51.5 million prescriptions in the United States in 2013 (<xref ref-type="bibr" rid="B1">1</xref>). It has long been thought that macrolide antibiotics are associated with cardiovascular events including myocardial infarction (MI), ventricular tachyarrhythmias, and sudden cardiac death (SCD) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Our previous study substantiated that macrolide antibiotics increased the risk of SCD/ventricular tachyarrhythmia and cardiovascular death, but not all-cause mortality (<xref ref-type="bibr" rid="B3">3</xref>). However, one recent study showed that macrolide antibiotics are associated with a significant risk for MI but not arrhythmia and cardiovascular mortality (<xref ref-type="bibr" rid="B4">4</xref>). Another study indicated that macrolide use did not increase the risk of ventricular arrhythmias in older patients. Interestingly, macrolide antibiotics were associated with a lower risk of all-cause mortality (<xref ref-type="bibr" rid="B5">5</xref>). These findings highlight the controversy surrounding warnings issued by the US Food and Drug Administration (<xref ref-type="bibr" rid="B6">6</xref>). Current evidence suggests Coronavirus Disease 2019 (COVID-19) is closely related to cardiovascular disease (CVD). Accordingly, it is of great significance to explore whether macrolides lead to cardiovascular complications, especially during the treatment of COVID-19 patients (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>In recent years, much emphasis has been placed on the safety of macrolides in patients with CVD. Indeed, patient safety and prevention of cardiovascular events should be highlighted when macrolides are administered to patients with COVID-19.</p>
<p>Consequently, it is essential to re-evaluate the association between macrolides and CVD. This meta-analysis brings together the latest evidence, providing a comprehensive update of the relationship between macrolides and CVD risk.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>Search strategy</title>
<p>This meta-analysis was registered in PROSPERO (CRD42021260724). We followed the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines for this meta-analysis. Two independent investigators (Yang Wu and Wen-Tao Bi) performed the literature search using Medline, EMBASE databases and <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov">ClinicalTrials.gov</ext-link>. The computer-based searches included the keywords &#x201C;macrolides,&#x201D; &#x201C;azithromycin,&#x201D; &#x201C;erythromycin,&#x201D; &#x201C;clarithromycin,&#x201D; &#x201C;roxithromycin,&#x201D; &#x201C;cardiac,&#x201D; &#x201C;heart,&#x201D; &#x201C;cardiovascular,&#x201D; &#x201C;death,&#x201D; &#x201C;stroke,&#x201D; &#x201C;myocardial infarction,&#x201D; &#x201C;acute coronary syndrome,&#x201D; &#x201C;ventricular tachycardia,&#x201D; &#x201C;arrhythmia,&#x201D; &#x201C;sudden cardiac death,&#x201D; &#x201C;cardiac arrest,&#x201D; &#x201C;torsades de pointes,&#x201D; &#x201C;sudden death,&#x201D; and &#x201C;mortality.&#x201D;</p>
</sec>
<sec id="S2.SS2">
<title>Study selection</title>
<p>Study selection, data extraction, and data analysis were performed in accordance with the Cochrane Collaboration and the PRISMA guidelines (<xref ref-type="bibr" rid="B8">8</xref>). Studies like cohort studies, case-control studies, or randomized controlled trials that reported the association between macrolides and the risk of cardiovascular events were included. For multiple reports of the same study, only the most comprehensive and recent study was included, and the remaining were excluded.</p>
</sec>
<sec id="S2.SS3">
<title>Data extraction</title>
<p>Two trained reviewers (Yang Wu and Wen-Tao Bi) independently extracted and collected the data from the included studies and assessed the risk of bias. The following data were extracted: source of participants, country, type of study, baseline diseases, type of antibiotics, doses of antibiotics, duration of antibiotics and outcomes. The information recorded for each study is detailed in the supplement. Disagreements between the 2 reviewers regarding extracted data were resolved by consensus. For cohort and case-control studies, the Newcastle-Ottawa scale was used to assess the risk of bias to make the process clearer and more accurate. The modified Jadad score was used to evaluate the quality of RCTs.</p>
</sec>
<sec id="S2.SS4">
<title>Outcomes</title>
<p>The outcomes were ventricular arrhythmia or sudden cardiac death (VA or SCD), MI, CVD death and all-cause death. The VA or SCD was defined according to the 10th revision of the International Classification of Diseases as ventricular tachycardia, torsades de pointes, ventricular fibrillation, ventricular flutter, sudden cardiac arrest, and SCD.</p>
</sec>
<sec id="S2.SS5">
<title>Statistical analysis</title>
<p>Our meta-analysis was performed using STATA (version 15.0, Stata Corp., College Station, TX) software package. The random-effects model (Mantel-Haenszel method) was used for analysis. The RR with 95% CI was determined for dichotomous variables. Heterogeneity was assessed using the inconsistency index (I2-statistic) and divided into low (&#x2264; 25%), moderate (&#x003E; 25% &#x2013; 50%), and high (&#x003E; 50%) (<xref ref-type="bibr" rid="B9">9</xref>). We also performed a sensitivity analysis setting the endpoint to SCD. Subgroup analyses were performed by stratifying according to drug subtype and timing. The definition of &#x201C;time of exposure to macrolides&#x201D; was as follows: current referred to the patient&#x2019;s current use of macrolides, recent was defined as use of macrolides within one month, and former involved the use of macrolides within one year. Publication bias was assessed with funnel plots using Begg&#x2019;s rank correlation test and Egger&#x2019;s regression asymmetry test. A two-tailed <italic>P</italic> &#x003C; 0.05 was statistically significant.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Characteristics of studies</title>
<p>Eighty studies (42 cohort studies, 23 RCTs, and 15 case-control studies) encompassing 39,374,874 patients were ultimately included in our meta-analysis (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 1</xref>). The 23 RCTs were strictly randomly assigned. In addition, the baseline data of the macrolides group and the non-macrolides group in other included studies were matched, and they were comparable as cardiovascular risk factors. Background use of macrolides in the experimental arm consisted of azithromycin (<italic>n</italic> = 46), clarithromycin (<italic>n</italic> = 28), erythromycin (<italic>n</italic> = 12) and roxithromycin (<italic>n</italic> = 7). Most underlying diseases treated with macrolides were respiratory infections. The main characteristics of the study population are detailed in <xref ref-type="supplementary-material" rid="TS1">Supplementary Table 1</xref>. The Newcastle-Ottawa Quality Assessment Scale scores of 57 observational studies ranged from 5 to 9, with 43 scoring 7 or above. The methodological quality of RCTs was generally good, with 21 studies scoring 4 or higher on the Modified Jadad score assessment (<xref ref-type="supplementary-material" rid="TS1">Supplementary Tables 2-4</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>Association with CVD events</title>
<p>Compared with the non-macrolide treatment group, macrolides were associated with higher VA or SCD risk (RR: 1.53, 95% CI: 1.34&#x2013;1.76, <italic>I</italic><sup>2</sup> = 49.9%) (<xref ref-type="fig" rid="F1">Figure 1</xref>). A total of 27 studies, including 22,446,680 participants, were available for this analysis. We also performed a sensitivity analysis limiting the endpoint to SCD in eight studies, which showed an increased SCD risk associated with macrolides (RR: 1.81, 95% CI: 1.30-2.52, <italic>I</italic><sup>2</sup> = 66.3%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 2</xref>). There was no visual asymmetry in the funnel plot (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 3</xref>). Furthermore, Begg&#x2019;s test and Egger&#x2019;s regression asymmetry test indicated no evidence of publication bias (Begg test, <italic>P</italic> = 0.69; Egger test, <italic>P</italic> = 0.18).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>RR of VA or SCD and CVD death in patients using macrolides. Compared with no macrolides, macrolides were associated with higher VA or SCD (RR: 1.53, 95% CI: 1.34&#x2013;1.76) and CVD death (RR: 1.34, 95% CI: 1.14&#x2013;1.58). Squares represent mean values, with the size of the squares indicating weight and horizontal lines representing 95% CIs. The diamond represents the pooled mean with the points of the diamond representing 95% CIs. RR, relative risk; CI, confidence interval; VA or SCD, ventricular arrhythmia or sudden cardiac death; CVD, cardiovascular disease.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-10-1117254-g001.tif"/>
</fig>
<p>Nineteen studies, including a total of 24,181,047 patients, reported CVD death. As shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, compared with the non-macrolide treatment group, macrolides were associated with higher CVD death (RR: 1.34, 95% CI: 1.14&#x2013;1.58, <italic>I</italic><sup>2</sup> = 75.2%). A random-effects model was applied due to the high heterogeneity. No funnel plot asymmetry was observed (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 3</xref>). Moreover, neither Egger&#x2019;s test nor Begg&#x2019;s test showed any publication bias (Begg test, <italic>P</italic> = 0.58; Egger test, <italic>P</italic> = 0.71).</p>
<p>The overall RR for MI comparing macrolides with no antibiotics for patients was 1.11 (95% CI: 1.02 to 1.20; <italic>P</italic> = 0.01) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 8</xref>), with moderate heterogeneity between studies (<italic>I</italic><sup>2</sup> = 74.5%, <italic>P</italic> &#x003C; 0.001). Funnel plot distributions of MI revealed the absence of publication bias (Begg test, <italic>P</italic> = 0.77; Egger test, <italic>P</italic> = 0.77) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 3</xref>).</p>
<p>Macrolides, compared with no macrolides, were not associated with a reduced risk of all-cause death (RR, 1.00 [95% CI, 0.91-1.10]; <italic>P</italic> = 0.99; <italic>I</italic><sup>2</sup> = 94.8%) (<xref ref-type="fig" rid="F2">Figure 2</xref>). There was no evidence of publication bias for all-cause death (Begg test, <italic>P</italic> = 0.47; Egger test, <italic>P</italic> = 0.08) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 3</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>RR of all-cause death in patients using macrolides. Squares represent mean values, with the size of the squares indicating weight and horizontal lines representing 95% CIs. The diamond represents the pooled mean with the points of the diamond representing 95% CIs. RR, relative risk; CI, confidence interval.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-10-1117254-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>Individual drug and CVD risk</title>
<p>To confirm the strength of our study findings, we conducted a subgroup analysis evaluating the association between different types of macrolide antibiotics and cardiovascular risk (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Summary of Individual drug and timing of macrolides use subgroup analysis.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">VA or SCD</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">CVD death</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">MI</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">All-cause death</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="color:#ffffff;background-color: #7f8080;"><bold>Type of macrolides</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>RR (95% CI)</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold><italic>p</italic>-value</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>RR (95% CI)</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold><italic>p-</italic>value</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>RR (95% CI)</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold><italic>p-</italic>value</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold>RR (95% CI)</bold></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"><bold><italic>p-</italic>value</bold></td>
</tr>
<tr>
<td valign="top" align="left">Clarithromycin</td>
<td valign="top" align="center">1.52 (1.07-2.16)</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">1.22 (0.97-1.53)</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">1.24 (0.89-1.72)</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">1.14 (0.97-1.35)</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">Azithromycin</td>
<td valign="top" align="center">1.53 (1.19-1.97)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.63 (1.17-2.27)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">1.08 (1.02-1.15)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">1.00 (0.88-1.13)</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">Erythromycin</td>
<td valign="top" align="center">1.47 (0.85-2.55)</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.98 (0.90-1.06)</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Roxithromycin</td>
<td valign="top" align="center">1.40 (0.70-2.80)</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">1.04 (0.72-1.51)</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">1.01 (0.74-1.38)</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">1.15 (0.84-1.56)</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9" style="background-color: #dcdcdc;"><bold>Timing of macrolides</bold></td>
</tr>
<tr>
<td valign="top" align="left">Current</td>
<td valign="top" align="center">1.71 (1.48-1.99)</td>
<td valign="top" align="center">&#x003C;0.001</td>
<td valign="top" align="center">1.54 (1.12-2.12)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">1.66 (0.63-4.32)</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">1.27 (0.97-1.66)</td>
<td valign="top" align="center">0.09</td>
</tr>
<tr>
<td valign="top" align="left">Recent</td>
<td valign="top" align="center">1.25 (1.09-1.44)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.14 (1.00-1.29)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">1.19 (0.96-1.47)</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">0.96 (0.81-1.14)</td>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">Former</td>
<td valign="top" align="center">1.08 (0.93-1.24)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">1.05 (0.84-1.30)</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">1.09 (1.02-1.15)</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.86 (0.72-1.02)</td>
<td valign="top" align="center">0.09</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>RR, relative risk; CI, confidence interval; VA or SCD, ventricular arrhythmia or sudden cardiac death; CVD, cardiovascular disease; MI, myocardial infarction; Current referred to the patient&#x2019;s current use of macrolides, recent was defined as use of macrolides within one month, and former involved the use of macrolides within one year.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>A total of 13 studies were included in the subgroup analysis of clarithromycin. No significant differences in MI, CVD, and all-cause death were found for clarithromycin use. Nonetheless, patients treated with clarithromycin had a higher risk of VA or SCD (RR, 1.52; 95% CI, 1.07-2.16; <italic>P</italic> = 0.02; <italic>I</italic><sup>2</sup> = 63.0%) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>RR of VA or SCD and CVD death in individual drug subgroup analysis. The risk of VA or SCD was increased with azithromycin (RR, 1.63; 95% CI, 1.17-2.27) and clarithromycin (RR, 1.52; 95% CI, 1.07-2.16). The risk of CVD death was increased with azithromycin (RR, 1.63; 95% CI, 1.17-2.27). Squares represent mean values, with the size of the squares indicating weight and horizontal lines representing 95% CIs. The diamond represents the pooled mean with the points of the diamond representing 95% CIs. RR, relative risk; CI, confidence interval; VA or SCD, ventricular arrhythmia or sudden cardiac death; CVD, cardiovascular disease.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-10-1117254-g003.tif"/>
</fig>
<p>With 28 studies included in the subgroup analysis of azithromycin, we concluded that azithromycin does not increase all-cause death. However, it should be noted that azithromycin significantly increased the risk of CVD death (RR, 1.63; 95% CI, 1.17-2.27; <italic>P</italic> = 0.004; <italic>I</italic><sup>2</sup> = 65.9%) (<xref ref-type="fig" rid="F3">Figure 3</xref>) and VA or SCD (RR, 1.53; 95% CI, 1.19-1.97; <italic>P</italic> = 0.001; <italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="fig" rid="F3">Figure 3</xref>). Additionally, azithromycin increased the incidence of MI (RR, 1.08; 95% CI, 1.02-1.15; <italic>P</italic> = 0.014; <italic>I</italic><sup>2</sup> = 75.1%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 4</xref>).</p>
<p>The number of studies for erythromycin was insufficient to perform meta-analyses for the outcomes of all-cause death and cardiovascular death. Three studies compared MI and VA or SCD in erythromycin versus no antibiotic treatment. Our subgroup analysis showed that erythromycin did not increase the risk of MI and VA or SCD.</p>
<p>Similarly, no significant differences were noted for roxithromycin in the incidence of MI (RR, 1.01; 95% CI, 0.74-1.38; <italic>P</italic> = 0.94; <italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 4</xref>) and all-cause death (RR, 1.14; 95% CI, 0.84-1.56; <italic>P</italic> = 0.39; <italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 5</xref>). One study reported the occurrence of VA or SCD with roxithromycin (RR, 1.40; 95% CI, 0.70-2.80; <italic>P</italic> = 0.34; <italic>I</italic><sup>2</sup> = 0%). Furthermore, another study reported the occurrence of CVD death with roxithromycin (RR, 1.04; 95% CI, 0.72-1.51; <italic>P</italic> = 0.84; <italic>I</italic><sup>2</sup> = 0%).</p>
</sec>
<sec id="S3.SS4">
<title>Timing of macrolides use and CVD risk</title>
<p>Given that different timing of macrolide use was associated with different CVD risks, another subgroup analysis was conducted to investigate the association between timing of macrolide use and CVD risk (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>A total of 23 studies were included in the subgroup analysis of association between MI and different timing of macrolide use, including 14 studies in former subgroup, 6 studies in recent subgroup, and 3 studies in current subgroup. The subgroup analysis comprised 1,494,572 participants in total, of which 568,406 were in the former subgroup, 623,883 were in the recent subgroup, and 302,283 were in the current subgroup. Stratifying patients by the timing of macrolide use revealed an increased risk of MI for former use (RR, 1.09; 95% CI, 1.02-1.15; <italic>P</italic> = 0.01; <italic>I</italic><sup>2</sup> = 0%). Compared with non-antibiotic use, the current use of macrolides (RR, 1.66; 95% CI, 0.64-4.33; P = 0.30; <italic>I</italic><sup>2</sup> = 97.6%) and recent use of macrolides (RR, 1.19; 95% CI, 0.96-1.47; <italic>P</italic> = 0.12; <italic>I</italic><sup>2</sup> = 0%) did not increase the incidence of MI (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 6</xref>).</p>
<p>The subgroup analysis of the association between MI and different timing of macrolide use comprised 33 studies in total, 6 of which were from the former subgroup, 15 from the recent subgroup, and 12 from the current subgroup. There were 37,622,893 participants in total, of which 2,862,923 were in the former subgroup, 14,706,180 in the recent subgroup, and 20,053,790 in the current subgroup. Notably, current use (RR, 1.71; 95% CI, 1.48-1.99; P &#x003C; 0.001; <italic>I</italic><sup>2</sup> = 0%) and recent use (RR, 1.25; 95% CI, 1.09-1.44; P = 0.001; <italic>I</italic><sup>2</sup> = 25.1%) of macrolides increased the risk of VA or SCD. There was no increased risk of VA or SCD in patients with the former use of macrolides compared with those who had not taken antibiotics (RR, 1.08; 95% CI, 0.93-1.24; P = 0.15; <italic>I</italic><sup>2</sup> = 39.1%) (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>RR of VA or SCD and CVD death in timing of macrolides use subgroup analysis. The risk of VA or SCD was increased with recent (RR, 1.34; 95% CI, 1.09-1.65) and current (RR, 1.71; 95% CI, 1.48-1.99) use of macrolides. The risk of CVD death was increased with current (RR, 1.16; 95% CI, 1.02-1.32) use of macrolides. Squares represent mean values, with the size of the squares indicating weight and horizontal lines representing 95% CIs. The diamond represents the pooled mean with the points of the diamond representing 95% CIs. RR, relative risk; CI, confidence interval. VA or SCD, ventricular arrhythmia or sudden cardiac death; CVD, cardiovascular disease. Current referred to the patient&#x2019;s current use of macrolides, recent was defined as use of macrolides within one month, and former involved the use of macrolides within one year.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-10-1117254-g004.tif"/>
</fig>
<p>50 studies with a total of 28,954,380 participants were used to investigate the association between different timing of macrolide use and all-cause death. The all-cause death was not increased in patients with current, recent, and former use of macrolides (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 7</xref>). However, the risk of CVD death was elevated in patients with current use of macrolides (RR, 1.54; 95% CI, 1.12-2.12; <italic>P</italic> = 0.01; <italic>I</italic><sup>2</sup> = 85.7%) (<xref ref-type="fig" rid="F4">Figure 4</xref>). In this subgroup, 28 studies with 54,155,707 participants were included. And the current subgroup contains 8 studies with a total of 1,8520,158 participants.</p>
</sec>
<sec id="S3.SS5">
<title>Macrolides and CVD risk in patients with COVID-19</title>
<p>Compared with the non-macrolides group, macrolides were not associated with an increased risk of VA or SCD in patients with COVID-19 (RR: 1.01, 95% CI: 0.71-1.43, I<bold><sup>2</sup></bold> = 0%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 9</xref>). A total of 4 studies, including 9,730 participants, were available for this analysis. Similarly, no significant differences in the incidence of all-cause death were observed in COVID-19 patients. (RR: 0.99, 95% CI: 0.85-1.15, <italic>I</italic><bold><sup>2</sup></bold> = 76.9%) (<xref ref-type="supplementary-material" rid="TS1">Supplementary Figure 10</xref>). A total of 11 studies with 81,070 participants were available for this analysis.</p>
<p>There was only one study on the association between macrolides use and CVD death in patients with COVID-19, and no study included the outcome of MI, therefore a meta-analysis on these two outcomes was not avaliable.</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>In this meta-analysis of 80 studies with a total of 39,374,874 participants and 134,629 CVD events, we demonstrated that the risk of CVD death, MI and VA or SCD was elevated with macrolide use. Subgroup analysis demonstrated that azithromycin was associated with an increased risk of 63% in CVD death, 8% in myocardial infarction and 53% in VA or SCD. Besides, patients prescribed clarithromycin had an increased risk of VA or SCD compared with no macrolide use. However, no CVD risk was associated with roxithromycin or erythromycin use. Analysis of the timing of macrolide use and CVD risk suggests that former macrolide use was associated with an increased risk of MI. Recent macrolide use was associated with an increased risk of VA or SCD. Moreover, current use of macrolides increased the incidence of VA or SCD and CVD death. Subgroup analysis also showed that macrolides did not lead to all-cause death and VA or SCD in patients with COVID-19.</p>
<p>A network meta-analysis reported no association between the use of macrolides and cardiovascular mortality or arrhythmia. Macrolides increase the risk of myocardial infarction, among which erythromycin and clarithromycin have been associated with a greater risk of myocardial infarction (<xref ref-type="bibr" rid="B10">10</xref>). Of note, previous meta-analyses have suggested that macrolide use can reduce all-cause death compared to no macrolide use (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Our previous studies suggested that clarithromycin can potentially increase the risk of all-cause death, cardiovascular death, and VA or SCD (<xref ref-type="bibr" rid="B3">3</xref>). In another study (<xref ref-type="bibr" rid="B13">13</xref>), clarithromycin was not associated with an increased risk of long-term all-cause death, cardiovascular death, or myocardial infarction. Moreover, it did not increase the incidence of arrhythmia, unlike the present study findings. In contrast with previous analyses, we included additional data from recently published studies, covering the largest study population and the four types of macrolides.</p>
<p>The mechanism of the association between macrolides and myocardial infarction remains unclear. It has been reported that clarithromycin may activate macrophages, leading to more vulnerable plaques through an inflammatory cascade that is more likely to trigger MI (<xref ref-type="bibr" rid="B14">14</xref>). It is widely acknowledged that clarithromycin is an inhibitor of cytochrome P450 3A4, while azithromycin does not inhibit cytochrome P450 3A4 (<xref ref-type="bibr" rid="B15">15</xref>). These pharmacokinetics makes clarithromycin at high risk of drug-drug interactions, such as impairing clopidogrel biotransformation and antiplatelet activity, which play an important role in the treatment and prevention of coronary heart disease (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). However, we found that clarithromycin use did not increase the incidence of MI. Although azithromycin has been shown to reduce endothelial cell activation, our results suggest its use increases the incidence of MI (<xref ref-type="bibr" rid="B18">18</xref>). Interestingly, the current and recent use of macrolides does not cause MI, while former use can cause MI. This finding suggests that macrolide use may trigger atherosclerosis. It is well-established that atherosclerosis occurs under the influence of risk factors such as very low-density lipoprotein, but the key factor affecting the development of atherosclerosis is time (<xref ref-type="bibr" rid="B19">19</xref>). Although macrolides were also applied in the current and recent subgroups, the time for the onset and development of atherosclerosis was not more than 1 month, so it was difficult for patients to progress from the trigger of atherosclerosis to MI in a short time. However, patients in the former subgroup were given more time for atherosclerosis to develop than those in the other two subgroups, which may account for the higher risk of MI in the former subgroup.</p>
<p>The cardiotoxicity of macrolides is mainly manifested as prolonged QT interval and Torsades de pointes (TdP). The prolongation of phase 3 of the action potential, early afterdepolarization, and block of the cardiac delayed rectifier potassium current I(Kr) constitute the mechanism of VA or SCD in macrolides (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). It has been established that the effect of macrolides on the blockade of the I(Kr) encoded by the human ether-a-go-go-related gene (HERG) can be ranked as follows: clarithromycin &#x2248; roxithromycin &#x003E; erythromycin (<xref ref-type="bibr" rid="B22">22</xref>), explaining why clarithromycin tends to induce early after depolarizations and TdP. The absence of VA or SCD in patients formerly treated with macrolides suggests that the effect of the drugs on the I(Kr) may be time-limited. Azithromycin was once considered the safest macrolide because it minimally inhibits CYP3A4 and does not cause QT prolongation and TdP (<xref ref-type="bibr" rid="B22">22</xref>). However, the <italic>in vitro</italic> pharmacokinetic data of azithromycin may not reflect how it works <italic>in vivo</italic>. A previous study suggested that azithromycin may increase the risk of SCD (<xref ref-type="bibr" rid="B3">3</xref>). The combination of hydroxychloroquine and azithromycin effectively reduces the viral load in COVID-19 patients (<xref ref-type="bibr" rid="B23">23</xref>). However, when used independently, both drugs have been suggested to cause QT interval prolongation and TdP, which can induce SCD (<xref ref-type="bibr" rid="B24">24</xref>). In addition, it is now recommended to evaluate the QTc for COVID-19 patients who may require treatment with hydroxychloroquine and azithromycin (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>In the present study, only azithromycin was significantly associated with an increased risk of CVD death among the four macrolides since azithromycin increases not only the risk of myocardial infarction but also the risk of VA or SCD. Moreover, clarithromycin did not increase CVD death rates, although it increased the incidence of VA or SCD.</p>
<p>None of the macrolides caused an increase in all-cause death. Even though azithromycin increased cardiovascular death, it did not cause an increase in all-cause death. Moreover, macrolide use reduced mortality in patients with severe sepsis caused by pneumonia (<xref ref-type="bibr" rid="B26">26</xref>). In addition, the anti-inflammatory and immunomodulatory properties of macrolides can reduce or mitigate the inflammatory response caused by pneumonia (<xref ref-type="bibr" rid="B27">27</xref>). Macrolides have been shown to regulate cytokines such as tumor necrosis factor &#x03B1;, interleukin 1, interleukin 6, interleukin 8 and interferon &#x03B3;, which play an important role in host defense mechanisms in patients with pneumonia (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). In light of the previous studies warning against the safety of azithromycin, physicians nowadays have to adjust the prescription of patients with excessive QT prolongation to decrease the risk of TdP (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Careful prescription of azithromycin may result in fewer deaths from TdP and lower all-cause death rates.</p>
<p>Both the incidence of VA or SCD and the all-cause death rate were not elevated by macrolides in COVID-19 individuals. Previous study have shown that the COVID-19 infection may result in myocardial injury, which may subsequently lead to severe ventricular arrhythmias (<xref ref-type="bibr" rid="B32">32</xref>). However, our study reveals that macrolides can be prescribed and have good safety in COVID-19 patients. The administration of macrolide antibiotics may not directly cause ventricular arrhythmias, and there are other significant triggers, such as COVID-19 infection&#x2019;s severe respiratory insufficiency, systemic inflammation, and proarrhythmic effects of COVID therapies (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Due to the limited number of studies at present, further clinical data is needed to determine if macrolides increase the risk of MI and CVD death in COVID-19.</p>
<p>Our study findings have important clinical implications. Due to differences in pharmacokinetic characteristics, drug-drug interactions and immunomodulatory effects among different macrolides, there are differences in the safety profile of different macrolides (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). The cardiovascular risks associated with azithromycin and clarithromycin treatment in patients require caution. Notably, this study provides clinicians with directions for targeting different cardiovascular risks at different times in patients on macrolides. Electrocardiogram screening should be performed in high-risk patients when macrolides are prescribed. Indeed, azithromycin and clarithromycin should be avoided in patients with prolonged QT due to the risk of VA or SCD. Azithromycin should be carefully prescribed to avoid increasing the risk of MI if patients are taking drugs for secondary prevention of coronary heart disease. Our findings suggest that roxithromycin has a good safety profile in cardiovascular events and all-cause death. Based on the current literature, few studies have been conducted on erythromycin; thus, the risk of CVD death and all-cause death with erythromycin remains uncertain. Last but not least, this study provides new insights for clinicians on the safety of macrolide antibiotics in COVID-19.</p>
<p>Our study has several strengths. First, to our knowledge, the present study represents the largest and most comprehensive evaluation of the association between macrolides and CVD death risk. Besides, strict inclusion criteria were used, and no significant publication bias was found, indicating the robustness of the study findings. Moreover, we performed several subgroup and sensitivity analyses and observed no significant change in the magnitude of the direction of the pooled effect size for the association between macrolides and CVD death risk.</p>
<p>There were several limitations and shortcomings in this study. To include all data in the analysis, we pooled observational studies with RCTs. There were large heterogeneities in this meta-analysis, which may be due to different study types, selection of placebo or active comparators, and different baseline comorbidities. Therefore, we conducted subgroup analyses providing novel insights into the timing of macrolide use and the risk of the different macrolide antibiotics. Nonetheless, further studies are needed to validate our findings and implicated mechanisms.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>The findings of this meta-analysis indicate that macrolide use increases the risk of CVD death, VA or SCD, and myocardial infarction, although not increasing all-cause death. Both azithromycin and clarithromycin increase the incidence of VA or SCD, and azithromycin tends to increase the risk of CVD death and MI. Different CVD risks are increased with different timing of macrolide use.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="S7" sec-type="author-contributions">
<title>Author contributions</title>
<p>S-HW and Y-JC: full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis and supervision. S-HW, Y-JC, YW, and W-TB: concept and design. S-HW, YW, and W-TB: acquisition, analysis, or interpretation of data. YW, W-TB, L-PQ, and JF: drafting of the manuscript. S-HW, Y-JC, YW, W-TB, X-JK, and C-CJ: critical revision of the manuscript for important intellectual content. YW, W-TB, X-MC, and F-JY: statistical analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="S8" sec-type="funding-information">
<title>Funding</title>
<p>This study was financially supported by the grants from National Natural Science Foundation of China (81370285, 81970206, 81600260, and 82270333), Guangdong Natural Science Foundation (2019A1515010269), and Guangdong Basic and Applied Basic Research Foundation (2021A1515010405).</p>
</sec>
<ack><p>We thank the Home for Researchers editorial team (<ext-link ext-link-type="uri" xlink:href="https://www.home-for-researchers.com">www.home-for-researchers.com</ext-link>) for language editing service.</p>
</ack>
<sec id="S9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2023.1117254/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1117254/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_2.DOCX" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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