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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1400101</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Cardiovascular adverse events associated with targeted therapies for multiple myeloma: a pharmacovigilance study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yanli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1693687"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shan</surname>
<given-names>Chang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2823146"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xinxin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1309263"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1200276"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xia</surname>
<given-names>Yunlong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/501745"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Yanfeng</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1895041"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiology, The First Affiliated Hospital of Dalian Medical University</institution>, <addr-line>Dalian, Liaoning</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Brijesh Patel, West Virginia University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Anand Prakash Singh, University of Michigan, United States</p>
<p>Nikhil Agrawal, University of Texas Health Science Center at Houston, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yanfeng Wang, <email xlink:href="mailto:wangyf@cicams.ac.cn">wangyf@cicams.ac.cn</email>; Yunlong Xia, <email xlink:href="mailto:yunlong_xia@126.com">yunlong_xia@126.com</email>; Ying Liu, <email xlink:href="mailto:yingliu.med@gmail.com">yingliu.med@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1400101</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>09</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhang, Shan, Zhang, Liu, Xia and Wang</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhang, Shan, Zhang, Liu, Xia and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Multiple myeloma (MM) is a leading cause of hematopoietic cancer-related mortality, accounting for 20% of deaths. MM-targeted therapies have demonstrated efficacy, and since 2015, the United States Food and Drug Administration (FDA) has approved five targeted drugs. However, their cardiovascular safety has not been comprehensively evaluated.</p>
</sec>
<sec>
<title>Objective</title>
<p>This study aimed to investigate the association between MM-targeted therapy and cardiovascular adverse events (AEs).</p>
</sec>
<sec>
<title>Methods</title>
<p>Disproportionality analysis was conducted on reports from the FDA AE Reporting System database from 2014 to the second quarter of 2023. Cardiovascular AEs were grouped into nine narrow categories using the Standardized Medical Dictionary for Regulatory Activities Queries (SMQs).</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 3,228 cardiovascular AE cases involving MM-targeted therapy were extracted and analyzed. Significant disproportionality was identified for daratumumab, elotuzumab, and isatuximab. Among the nine narrow SMQ categories, the three most reported cardiovascular AEs were cardiomyopathy, cardiac arrhythmias, and embolic and thrombotic events. Noninfectious myocarditis/pericarditis, cardiac arrhythmias, and embolic and thrombotic events exhibited the strongest signal strengths. The cardiovascular AE risk was higher within the first month and gradually decreased thereafter; however, it increased rapidly again after 1 year. This trend was observed for all cardiovascular AEs. The Kaplan&#x2013;Meier curve and the log-rank test revealed that isatuximab and elotuzumab exhibited a significantly lower probability of cardiovascular AEs than daratumumab (<italic>p</italic> &lt; 0.001).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>MM-targeted therapy is significantly associated with an increased risk of previously unknown cardiovascular AE profiles, with the range and onset differing among various drugs, thereby warranting specific monitoring and appropriate management.</p>
</sec>
</abstract>
<kwd-group>
<kwd>multiple myeloma</kwd>
<kwd>cardio-oncology</kwd>
<kwd>cardiovascular adverse event</kwd>
<kwd>targeted therapy</kwd>
<kwd>cardiovascular safety</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="3"/>
<equation-count count="6"/>
<ref-count count="27"/>
<page-count count="12"/>
<word-count count="4500"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Multiple myeloma (MM), a clonal plasma cell dysplasia, ranks as the second most prevalent hematological malignancy, accounting for 20% of hematopoietic cancer-related deaths (<xref ref-type="bibr" rid="B1">1</xref>). Despite being incurable, MM diagnosis and treatment have witnessed remarkable improvements, with the aid of novel agents and sophisticated laboratory methods. Since 2015, the United States Food and Drug Administration (FDA) has approved several drugs for the treatment of MM, including proteasome inhibitors, selective inhibitors of nuclear export, monoclonal antibodies, and antibody&#x2013;drug conjugates. Among these, monoclonal antibodies such as daratumumab (<xref ref-type="bibr" rid="B2">2</xref>), isatuximab (targeting CD38) (<xref ref-type="bibr" rid="B3">3</xref>), elotuzumab (which activates natural killer cells) (<xref ref-type="bibr" rid="B4">4</xref>), belantamab mafodotin [targeting B-cell maturation antigen (BCMA)] (<xref ref-type="bibr" rid="B5">5</xref>), and teclistamab (targeting CD3/BCMA) (<xref ref-type="bibr" rid="B6">6</xref>) have demonstrated considerable efficacy in prolonging survival and enhancing the quality of life of patients with MM. For example, the CASTOR trial, one of the largest trials for daratumumab, reported that the median overall survival with daratumumab plus bortezomib and dexamethasone (D-Vd) was 49.6 months, compared to 38.5 months for patients receiving bortezomib and dexamethasone alone. This demonstrated that D-Vd significantly prolonged the survival of patients with relapsed or refractory MM (<xref ref-type="bibr" rid="B7">7</xref>). The POLLUX study also demonstrated positive results with daratumumab plus lenalidomide and dexamethasone (D-Rd) compared with lenalidomide plus dexamethasone alone (Rd). The median survival duration for patients who received D-Rd was 67.6 months, compared to 51.8 months for those receiving Rd (<xref ref-type="bibr" rid="B8">8</xref>). Based on these clinical trial data and supporting evidence, the National Comprehensive Cancer Network Panel has classified daratumumab as a category 1, preferred option for the treatment of patients with relapsed/refractory MM (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>However, it is important to recognize that many MM drugs have been linked to cardiovascular adverse events (AEs). Proteasome inhibitors, such as bortezomib and carfilzomib, and immunomodulatory drugs, including lenalidomide, pomalidomide, and thalidomide, may induce thrombosis, hypertension, heart failure, and atrial fibrillation (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Moreover, limited published evidence is available regarding the cardiovascular AE profiles of the five newly approved target agents. Given the recent increase in the use of these drugs, our study aimed to analyze the reported cardiovascular AEs associated with approved MM-targeted therapies.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Data source and extraction</title>
<p>The United States FDA Adverse Event Reporting System (FAERS) database is a cost-free postmarketing safety surveillance system that collects millions of spontaneous AE reports from healthcare professionals, patients, and drug manufacturers around the world. FAERS functions as a vital repository, providing insights into real-world experiences and potential risks associated with medications and medical products post-market release. The extensive volume of data gathered at a national level from a diverse and extensive population, often under conditions that may not be represented in controlled clinical trials, renders FAERS exceptionally useful and effective for conducting pharmacovigilance studies.</p>
<p>In the FAERS, AEs are coded using preferred terms (PTs) based on the Medical Dictionary for Regulatory Activities (MedDRA) (version 25.1). These PTs may be related to various high-level terms, high-level group terms, and system-organ classes. To enhance precision, PTs encompassing symptoms, signs, investigations, and relevant diagnoses were systematically categorized using Standardized MedDRA Queries (SMQs) to define specific medical conditions of interest. In this study, cardiovascular AEs were classified into nine distinct SMQs (cardiac arrhythmia, cardiac failure, cardiomyopathy, embolic and thrombotic events, hypertension, ischemic heart disease, noninfectious myocarditis/pericarditis, pulmonary hypertension, and torsade de pointes/QT prolongation) (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>Five commonly used target agents that gained marketing authorization from the FDA were selected to treat MM. The labels used by the National Center for Biotechnology Information were used to describe them, these being &#x201c;daratumumab,&#x201d; &#x201c;elotuzumab,&#x201d; &#x201c;isatuximab,&#x201d; &#x201c;belantamab,&#x201d; and &#x201c;teclistamab.&#x201d; Information on patient demographics and administrative information, drug/biological information, AEs, patient outcomes, reporting source, reporting drug therapy start and end dates, and indications was extracted.</p>
<p>The time span of the data was set between 2014 and the second quarter (Q2) of 2023. Only AEs related to drugs labeled as &#x201c;Primary Suspect&#x201d; were collected. To ensure the accuracy of the results, the principle of general exclusion was applied, which involved removal of duplications of the same CASEID, and filtration of inaccurate statistics. The onset was defined as the interval between the initiation date of targeted therapy and the date of onset of the cardiovascular AE. Reports lacking information on the &#x201c;drug start date,&#x201d; &#x201c;case event date,&#x201d; or cases in which the drug&#x2019;s start date postdated the onset date of AEs were considered anomalous and excluded from analysis.</p>
</sec>
<sec id="s2_2">
<title>Statistical analysis</title>
<p>Disproportionality analysis, commonly referred to as case&#x2013;noncase analysis, is a method that is frequently used in pharmacovigilance studies, employing a two-by-two contingency table (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Two specific indices, the reporting odds ratio (ROR) and information components (ICs), were calculated to identify potential associations between the drugs and cardiovascular AEs. Statistical shrinkage transformation was applied to ensure robust results. The respective calculation formulas for the ROR and IC are as follows (<xref ref-type="bibr" rid="B15">15</xref>):</p>
<disp-formula>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mtext>ROR</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>N&#xa0;</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>expected</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mtext>IC</mml:mtext>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mrow>
<mml:mi>log</mml:mi>
</mml:mrow>
<mml:mn>2</mml:mn>
</mml:msub>
<mml:mo stretchy="false">(</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>expected</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
</mml:mfrac>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mtext>expected</mml:mtext>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mtext>drug</mml:mtext>
</mml:msub>
<mml:mo>*</mml:mo>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mtext>event</mml:mtext>
</mml:msub>
<mml:mo stretchy="false">/</mml:mo>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mtext>total</mml:mtext>
</mml:msub>
</mml:mrow>
</mml:math>
</disp-formula>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Disproportionality analysis based on a two-by-two contingency table.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">Target adverse events</th>
<th valign="middle" align="left">Other adverse events</th>
<th valign="middle" align="left">Total</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Targeted drug</td>
<td valign="middle" align="left">a (N<sub>observed</sub>)</td>
<td valign="middle" align="left">b</td>
<td valign="middle" align="left">N<sub>drug</sub> = a+b</td>
</tr>
<tr>
<td valign="middle" align="left">Other drugs</td>
<td valign="middle" align="left">c</td>
<td valign="middle" align="left">d</td>
<td valign="middle" align="left">c+d</td>
</tr>
<tr>
<td valign="middle" align="left">Total</td>
<td valign="middle" align="left">N<sub>event</sub> =a+c</td>
<td valign="middle" align="left">b+d</td>
<td valign="middle" align="left">N<sub>total</sub> =a+b+c+d</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>where N<sub>observed</sub> is the observed number of reports of target drug-related AEs, N<sub>expected</sub> is the expected number of reports of target drug-related AEs, N<sub>drug (a+b)</sub> is the total number of reports of the target drug, N<sub>event (a+c)</sub> is the total number of target AEs reports, and N<sub>total (a+b+c+d)</sub> is the total number of reports in the database. The calculation formulas for the 95% confidence level interval (CI) of the ROR and IC are as follows:</p>
<disp-formula>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mtext>ROR&#xa0;</mml:mtext>
<mml:mn>95</mml:mn>
<mml:mtext>%CI</mml:mtext>
<mml:mo>=</mml:mo>
<mml:msup>
<mml:mtext>e</mml:mtext>
<mml:mrow>
<mml:mi>ln</mml:mi>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:mtext>ROR</mml:mtext>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>&#xb1;</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mn>1.96</mml:mn>
<mml:msqrt>
<mml:mrow>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mtext>a</mml:mtext>
</mml:mfrac>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mtext>b</mml:mtext>
</mml:mfrac>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mtext>c</mml:mtext>
</mml:mfrac>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mtext>&#xa0;</mml:mtext>
<mml:mfrac>
<mml:mn>1</mml:mn>
<mml:mtext>d</mml:mtext>
</mml:mfrac>
</mml:mrow>
</mml:msqrt>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M5">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>IC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>025</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mtext>IC</mml:mtext>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>3.3</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>2</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1.5</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<mml:math display="block" id="M6">
<mml:mrow>
<mml:msub>
<mml:mrow>
<mml:mtext>IC</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mn>975</mml:mn>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mtext>IC</mml:mtext>
<mml:mo>+</mml:mo>
<mml:mn>2.4</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
</mml:msup>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.5</mml:mn>
<mml:mo>&#xd7;</mml:mo>
<mml:msup>
<mml:mrow>
<mml:mrow>
<mml:mo stretchy="false">(</mml:mo>
<mml:mrow>
<mml:msub>
<mml:mtext>N</mml:mtext>
<mml:mrow>
<mml:mtext>observed</mml:mtext>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mn>0.5</mml:mn>
</mml:mrow>
<mml:mo stretchy="false">)</mml:mo>
</mml:mrow>
</mml:mrow>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>1.5</mml:mn>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<p>A potential signal was considered statistically significant if the lower limit of the 95% CI for ROR was greater than one (ROR<sub>025</sub> &gt; 1), or the lower limit of the 95% CI for IC exceeded zero (IC<sub>025</sub> &gt; 0). All analyses were performed using SAS version 9.4 (SAS Institute Inc., Cary, NC, United States).</p>
<p>To assess the trend of cardiovascular AE associated with targeted therapy drugs, Kaplan&#x2013;Meier curves were applied to represent the cumulative cardiovascular AEs over time. We defined the reported cardiovascular AEs as the primary outcome, and pre-specified endpoints were recorded with the onset. The Kruskal&#x2013;Wallis test was utilized to determine whether a statistically significant difference existed regarding the onset of specific target therapies. Statistical significance was set at <italic>p</italic> &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Descriptive analysis</title>
<p>A total of 51,336,497 AEs were reported, and 16,207,723 cases were identified from the FAERS database, between 2014 and 2023 Q2. Health professionals comprised the predominant source (68.8%) of the reports. After filtering and categorizing the data, the number of cases related to cardiovascular AEs associated with MM-targeted therapy was 3,228, while the number of non-cardiovascular AEs was 15,675 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The occurrence of AEs and cardiovascular disease increased annually owing to the ubiquitous use of targeted therapy.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram illustrating data filtering and categorizing.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g001.tif"/>
</fig>
<p>Additionally, we examined the characteristics of patients with cardiovascular and overall AEs (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Regardless of whether patients had a non-classical definition of sex or some sex data were lost, men (51.9%) were more susceptible to AEs with MM-targeted therapy than women. The proportion of cardiovascular AEs in the &#x2265;65-year-old subgroup was significantly higher than that of the &lt;65-year-old subgroup (52.5% vs. 26.6%).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinical characteristics of cardiovascular AEs reports for MM-targeted therapy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="left">Cardiovascular AEs</th>
<th valign="top" align="left">Overall AEs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex, <italic>n</italic> (%)</td>
<td valign="top" align="left">3,228</td>
<td valign="top" align="left">18,903</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">1,174 (36.4)</td>
<td valign="top" align="left">6,774 (35.8)</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">1,675 (51.9)</td>
<td valign="top" align="left">9,054 (47.9)</td>
</tr>
<tr>
<td valign="top" align="left">Unknown</td>
<td valign="top" align="left">379 (11.7)</td>
<td valign="top" align="left">3,075 (16.3)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Age (years), <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;18</td>
<td valign="top" align="left">94 (2.9)</td>
<td valign="top" align="left">767 (4.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;18 to &lt;65</td>
<td valign="top" align="left">766 (23.7)</td>
<td valign="top" align="left">5,115 (27.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;65 to &lt;75</td>
<td valign="top" align="left">982 (30.4)</td>
<td valign="top" align="left">4,460 (23.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;75</td>
<td valign="top" align="left">713 (22.1)</td>
<td valign="top" align="left">3,160 (16.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Unknown</td>
<td valign="top" align="left">673 (20.9)</td>
<td valign="top" align="left">4,867 (28.5)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Outcome, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="top" align="left">Non-serious outcome</td>
<td valign="top" align="left">153 (4.7)</td>
<td valign="top" align="left">1,309 (6.9)</td>
</tr>
<tr>
<td valign="top" align="left">Serious outcome</td>
<td valign="top" align="left">3,075 (95.3)</td>
<td valign="top" align="left">17,594 (93.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Death</td>
<td valign="top" align="left">582 (18.0)</td>
<td valign="top" align="left">3,206 (17.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lift-threatening</td>
<td valign="top" align="left">266 (8.2)</td>
<td valign="top" align="left">1,073 (5.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hospitalization</td>
<td valign="top" align="left">1,364 (42.3)</td>
<td valign="top" align="left">6,704 (35.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Disability</td>
<td valign="top" align="left">7 (0.2)</td>
<td valign="top" align="left">86 (0.4)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Congenital anomalies</td>
<td valign="top" align="left">2 (0.1)</td>
<td valign="top" align="left">3 (0.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Other serious outcomes</td>
<td valign="top" align="left">854 (26.5)</td>
<td valign="top" align="left">6,510 (34.4)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reporters, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Health professional</td>
<td valign="top" align="left">2,222 (68.8)</td>
<td valign="top" align="left">11,773 (62.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-health professional</td>
<td valign="top" align="left">236 (7.3)</td>
<td valign="top" align="left">1,310 (6.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="left">770 (23.9)</td>
<td valign="top" align="left">5,820 (30.8)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reporting countries, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;America (USA)</td>
<td valign="top" align="left">908 (28.1)</td>
<td valign="top" align="left">5,209 (27.6)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;France</td>
<td valign="top" align="left">372 (11.5)</td>
<td valign="top" align="left">2,179 (11.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Japan</td>
<td valign="top" align="left">315 (9.8)</td>
<td valign="top" align="left">1,795 (9.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Germany</td>
<td valign="top" align="left">296 (9.2)</td>
<td valign="top" align="left">2,066 (10.9)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;United Kingdom</td>
<td valign="top" align="left">134 (4.2)</td>
<td valign="top" align="left">716 (3.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Spain</td>
<td valign="top" align="left">134 (4.2)</td>
<td valign="top" align="left">987 (5.2)</td>
</tr>
<tr>
<th valign="top" colspan="3" align="left">Reporting year, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2023 (Q1&#x2013;Q2)</td>
<td valign="top" align="left">606 (18.8)</td>
<td valign="top" align="left">4,638 (24.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2022</td>
<td valign="top" align="left">642 (19.9)</td>
<td valign="top" align="left">4,348 (23.0)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2021</td>
<td valign="top" align="left">458 (14.2)</td>
<td valign="top" align="left">2,737 (14.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2020</td>
<td valign="top" align="left">443 (13.7)</td>
<td valign="top" align="left">2,120 (11.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2019</td>
<td valign="top" align="left">353 (10.9)</td>
<td valign="top" align="left">1,723 (9.1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2018</td>
<td valign="top" align="left">310 (9.6)</td>
<td valign="top" align="left">1,412 (7.5)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2017</td>
<td valign="top" align="left">216 (6.7)</td>
<td valign="top" align="left">1,009 (5.3)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2016</td>
<td valign="top" align="left">151 (4.7)</td>
<td valign="top" align="left">610 (3.2)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2015</td>
<td valign="top" align="left">27 (0.8)</td>
<td valign="top" align="left">147 (0.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2014</td>
<td valign="top" align="left">22 (0.7)</td>
<td valign="top" align="left">159 (0.8)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>AEs, adverse events; MM, multiple myeloma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Cardiovascular AEs were commonly associated with serious outcomes in most patients with AEs (95.3%). Among these serious outcomes, hospitalization (42.3%) and death (18.0%) were frequently reported. Considering nationality, the majority of cases were American (28.1%), French (11.5%), Japanese (9.8%), German (9.2%), British (4.2%), and Spanish (4.2%).</p>
</sec>
<sec id="s3_2">
<title>Disproportionality analysis</title>
<p>A comparison of various targeted agents associated with cardiovascular AEs is presented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Central illustration. Disproportionality analysis calculated using ROR and IC. According to the disproportionality analysis, daratumumab, elotuzumab, and isatuximab exhibited significantly increased likelihood of being associated with reported cardiovascular AEs. AEs, adverse events; IC, information component; MM, multiple myeloma; ROR, reporting odds ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g002.tif"/>
</fig>
<p>Significant signal strength was observed in the cardiovascular AEs for daratumumab (IC<sub>025</sub>/ROR<sub>025</sub> = 0.26/1.20), elotuzumab (IC<sub>025</sub>/ROR<sub>025</sub> = 0.34/1.28), and isatuximab (IC<sub>025</sub>/ROR<sub>025</sub> = 0.55/1.48). Nevertheless, for the antibody&#x2013;drug conjugate belantamab (IC<sub>025</sub>/ROR<sub>025</sub>=&#x2212;1.23/0.44) and bispecific antibody teclistamab (IC<sub>025</sub>/ROR<sub>025</sub>=&#x2212;0.82/0.59), no significant associations were observed with cardiovascular AEs.</p>
</sec>
<sec id="s3_3">
<title>Range of cardiovascular AEs based on SMQ for MM-targeted therapy drugs</title>
<p>As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, among the nine SMQ categories, cardiomyopathy (<italic>N</italic>=1,562, 23.1%) comprised the most frequently reported cardiovascular AE, followed by cardiac arrhythmias (<italic>N</italic>=1127, 16.7%), embolic and thrombotic events (<italic>N</italic>=989, 14.6%), pulmonary hypertension (<italic>N</italic>=744, 11.0%), cardiac failure (<italic>N</italic>=682, 10.1%), noninfectious myocarditis/pericarditis (<italic>N</italic>=632, 9.3%), and torsade de pointes/QT prolongation (<italic>N</italic>=395, 5.8%). Specifically, noninfectious myocarditis/pericarditis displayed the strongest signal value (IC<sub>025</sub>/ROR<sub>025</sub> = 0.61/1.55), followed by cardiac arrhythmias (IC<sub>025</sub>/ROR<sub>025</sub> = 0.29/1.23), embolic and thrombotic events (IC<sub>025</sub>/ROR<sub>025</sub> = 0.28/1.23), cardiac failure (IC<sub>025</sub>/ROR<sub>025</sub> = 0.27/1.22), pulmonary hypertension (IC<sub>025</sub>/ROR<sub>025</sub> = 0.24/1.19), cardiomyopathy (IC<sub>025</sub>/ROR<sub>025</sub> = 0.19/1.15), and torsade de pointes/QT prolongation (IC<sub>025</sub>/ROR<sub>025</sub> = 0.11/1.10). However, ischemic heart disease and hypertension were not significantly associated with the MM-targeted therapy.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Disproportionality analysis results for MM-targeted therapy associated with cardiovascular events based on specific SMQs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cardiovascular AE reports</th>
<th valign="middle" align="center">Number (<italic>n</italic>)</th>
<th valign="middle" align="center">ROR</th>
<th valign="middle" align="center">ROR<sub>025</sub>
</th>
<th valign="middle" align="center">ROR<sub>975</sub>
</th>
<th valign="middle" align="center">IC</th>
<th valign="middle" align="center">IC<sub>025</sub>
</th>
<th valign="middle" align="center">IC<sub>975</sub>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Cardiomyopathy</td>
<td valign="middle" align="center">1,562</td>
<td valign="middle" align="center">1.20</td>
<td valign="middle" align="center">1.15</td>
<td valign="middle" align="center">1.27</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">0.19</td>
<td valign="middle" align="center">0.33</td>
</tr>
<tr>
<td valign="middle" align="left">Cardiac arrhythmias</td>
<td valign="middle" align="center">1,127</td>
<td valign="middle" align="center">1.31</td>
<td valign="middle" align="center">1.23</td>
<td valign="middle" align="center">1.39</td>
<td valign="middle" align="center">0.39</td>
<td valign="middle" align="center">0.29</td>
<td valign="middle" align="center">0.46</td>
</tr>
<tr>
<td valign="middle" align="left">Embolic and thrombotic events</td>
<td valign="middle" align="center">989</td>
<td valign="middle" align="center">1.31</td>
<td valign="middle" align="center">1.23</td>
<td valign="middle" align="center">1.40</td>
<td valign="middle" align="center">0.39</td>
<td valign="middle" align="center">0.28</td>
<td valign="middle" align="center">0.47</td>
</tr>
<tr>
<td valign="middle" align="left">Pulmonary hypertension</td>
<td valign="middle" align="center">744</td>
<td valign="middle" align="center">1.28</td>
<td valign="middle" align="center">1.19</td>
<td valign="middle" align="center">1.38</td>
<td valign="middle" align="center">0.36</td>
<td valign="middle" align="center">0.24</td>
<td valign="middle" align="center">0.45</td>
</tr>
<tr>
<td valign="middle" align="left">Cardiac failure</td>
<td valign="middle" align="center">682</td>
<td valign="middle" align="center">1.32</td>
<td valign="middle" align="center">1.22</td>
<td valign="middle" align="center">1.42</td>
<td valign="middle" align="center">0.40</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">0.48</td>
</tr>
<tr>
<td valign="middle" align="left">Non-infectious myocarditis/pericarditis</td>
<td valign="middle" align="center">632</td>
<td valign="middle" align="center">1.67</td>
<td valign="middle" align="center">1.55</td>
<td valign="middle" align="center">1.81</td>
<td valign="middle" align="center">0.74</td>
<td valign="middle" align="center">0.61</td>
<td valign="middle" align="center">0.83</td>
</tr>
<tr>
<td valign="middle" align="left">Torsade de pointes/QT prolongation</td>
<td valign="middle" align="center">395</td>
<td valign="middle" align="center">1.21</td>
<td valign="middle" align="center">1.10</td>
<td valign="middle" align="center">1.34</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">0.11</td>
<td valign="middle" align="center">0.40</td>
</tr>
<tr>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="center">346</td>
<td valign="middle" align="center">0.90</td>
<td valign="middle" align="center">0.814</td>
<td valign="middle" align="center">1.006</td>
<td valign="middle" align="center">&#x2212;0.14</td>
<td valign="middle" align="center">&#x2212;0.32</td>
<td valign="middle" align="center">&#x2212;0.14</td>
</tr>
<tr>
<td valign="middle" align="left">Ischemic heart disease</td>
<td valign="middle" align="center">284</td>
<td valign="middle" align="center">0.99</td>
<td valign="middle" align="center">0.885</td>
<td valign="middle" align="center">1.12</td>
<td valign="middle" align="center">&#x2212;0.00</td>
<td valign="middle" align="center">&#x2212;0.20</td>
<td valign="middle" align="center">0.14</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT3_1">
<label>a</label>
<p>IC, information component; MM, multiple myeloma; ROR, reporting odds ratio; SMQs, Standardized Medical Dictionary for Regulatory Activities Queries.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Importantly, analysis based on a single agent revealed varied patterns of cardiovascular AEs among daratumumab, elotuzumab, and isatuximab, as illustrated in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>; cardiac failure, cardiomyopathy, noninfectious myocarditis/pericarditis, and embolic and thrombotic events were detected as signals for all three agents. Isatuximab was the only agent significantly associated with hypertension (IC<sub>025</sub> = 0.10). Pulmonary hypertension was not associated with elotuzumab treatment (IC<sub>025</sub>=&#x2013;0.44). Cardiac arrhythmias and torsade de pointes/QT prolongation were not associated with isatuximab (IC<sub>025</sub>=&#x2013;0.19, 0.41).</p>
<p>Furthermore, we evaluated the pharmacovigilance signal intensities of these toxicities during the study period. Signal intensity fluctuated slightly from 2014 to 2023, and the CI gradually narrowed, indicating that pharmacovigilance signals maintained their stability, and these significant associations were consistently maintained (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Information components over time for different types of cardiovascular AEs. AEs, adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g003.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Range of cardiovascular AEs based on PT for MM-targeted therapy drugs</title>
<p>We analyzed the top 35 (sorted by number of reports, with &#x2265;3 reports) most frequently reported cardiovascular AEs in the PTs of daratumumab, elotuzumab, and isatuximab. A total of 23 PTs were significantly associated with daratumumab, 19 with elotuzumab, and 20 with isatuximab. Among these, seven PTs (atrial fibrillation, atrial flutter, cardiac failure, deep vein thrombosis, hypoxia, peripheral edema, and pulmonary embolism) exhibited significant correlations with all three agents, and atrial flutter had the strongest signal (IC<sub>025</sub> = 2.433 for isatuximab, IC<sub>025</sub> = 2.219 for daratumumab, and IC<sub>025</sub> = 1.999 for elotuzumab (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>IC<sub>025</sub> values for targeted therapy-related cardiovascular PTs. PTs, preferred terms.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g004.tif"/>
</fig>
<p>For daratumumab, the five most common PTs were dyspnea (<italic>N</italic>=439, IC<sub>025 =</sub> 0.296), atrial fibrillation (<italic>N</italic>=213, IC<sub>025</sub> = 1.75), hypertension (<italic>N</italic>=143, IC<sub>025</sub> = 0.03), cardiac failure (<italic>N</italic>=141, IC<sub>025</sub> = 1.38), and pulmonary embolism (<italic>N</italic>=101, IC<sub>025</sub> = 0.71).</p>
<p>For elotuzumab, the five most common PTs were atrial fibrillation (<italic>N</italic>=40, IC<sub>025</sub> = 2.07), pulmonary embolism (<italic>N</italic>=33, IC<sub>025</sub> = 1.87), cardiac failure (<italic>N</italic>=31, IC<sub>025</sub> = 0.45), deep vein thrombosis (<italic>N</italic>=20, IC<sub>025</sub> = 0.74), and syncope (<italic>N</italic>=20, IC<sub>025</sub> = 0.78). Atrial flutter had the strongest signal (<italic>N</italic>=10, IC<sub>025</sub> = 1.99).</p>
<p>For isatuximab, the five most common PTs were pulmonary embolism (<italic>N</italic>=27, IC<sub>025</sub> = 0.84), cardiac failure (<italic>N</italic>=27, IC<sub>025</sub> = 0.84), hypertension (<italic>N</italic>=27, IC<sub>025</sub> = 0.84), atrial fibrillation (<italic>N</italic>=27, IC<sub>025</sub> = 0.84), and peripheral edema (<italic>N</italic>=27, IC<sub>025</sub> = 0.84).</p>
</sec>
<sec id="s3_5">
<title>Onset and survival analysis for cardiovascular AEs of MM-targeted therapy drugs</title>
<p>More than half of the cardiovascular AEs occurred 6 months after initiation of targeted therapy, with a median onset of 129 days (interquartile range=27,528), except for pulmonary hypertension (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Approximately 33.5% of torsade de pointes/QT prolongations occurred within 1 month of drug administration. The lowest ratio in the first month was 20% of pulmonary hypertension. A sustained decline was observed in the ratio of cardiovascular AE onset over time and reached the lowest at 271&#x2013;360 days. Unexpectedly, at &gt;360 days, a rebound in the ratio of cardiovascular AEs onset was observed, among which the ratio of pulmonary hypertension occurrence had the most prominent increase of approximately 40.8%. The onset for various targeted therapies (daratumumab, elotuzumab, and isatuximab) was compared. Kruskal&#x2013;Wallis tests revealed that elotuzumab had a significantly later median AE onset of approximately 573 days (<italic>p</italic> &lt; 0.001), which, for daratumumab and isatuximab, was approximately 407 and 427 days, respectively. The Kaplan&#x2013;Meier curve operated with the log-rank test that showed that compared with daratumumab and isatuximab, elotuzumab exhibited a lower cardiovascular AE risk (<italic>p</italic> &lt; 0.001) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Time of onset for different categories of cardiovascular AEs. AEs, adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>
<bold>(A)</bold> Analysis of differences in onset of cardiovascular AEs among different targeted agents. <bold>(B)</bold> Kaplan&#x2013;Meier curves for cardiovascular AEs in MM-targeted therapy. AEs, adverse events; MM, multiple myeloma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g006.tif"/>
</fig>
<p>Moreover, mortality due to various cardiovascular AEs was calculated and illustrated in a bar chart (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Torsade de pointes/QT prolongation (40.7%) and noninfectious myocarditis/pericarditis (38.9%) contributed to a higher death outcome incidence, which is consistent with the findings that targeted therapies possess intense pharmacovigilance signals in torsade de pointes/QT prolongation and noninfectious myocarditis/pericarditis.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Records and proportions of death/life-threatening outcomes of cardiovascular AEs. AEs, adverse events.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1400101-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The ICARIA-MM (<xref ref-type="bibr" rid="B16">16</xref>), ELOQUENT (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>), and GRIFFIN (<xref ref-type="bibr" rid="B19">19</xref>) trials, which were conducted using a meticulous methodology, demonstrated that targeted therapy significantly mitigates MM progression and improves prognosis. Recognizing the efficacy of MM-targeted therapy, the FDA recently approved five targeted agents, namely, daratumumab, elotuzumab, isatuximab, belantamab mafodotin (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>), and teclistamab (<xref ref-type="bibr" rid="B22">22</xref>). However, studies on targeted therapy-induced cardiovascular AEs in patients with MM, using large-sample real-world data, are limited, and no studies provided data after stratifying by sex, age, cardiac profiles, and outcomes. This strongly underscores the need for continuous postmarketing surveillance.</p>
<p>To our knowledge, the present study is the most comprehensive pharmacovigilance study based on the FAERS database examining the association between MM-targeted therapy and cardiovascular AEs, including the range, onset, and outcomes of cardiovascular AEs, as well as offering an extensive comparison of such patterns between daratumumab, elotuzumab, and isatuximab. The main findings of our study are as follows:</p>
<sec id="s4_1">
<title>Cardiovascular AE burden and clinical characteristics of MM-targeted therapy drugs</title>
<p>Our research indicates that cardiovascular AEs accounted for 17.1% of all reported AEs associated with MM-targeted therapy. Moreover, annual cardiovascular AE reports are progressively increasing. Notably, daratumumab, elotuzumab, and isatuximab were significantly associated with an increased risk of cardiovascular AEs, as indicated by significantly higher signal values. These findings indicate that cardiovascular AEs may be noteworthy for MM-targeted agents. With continuous development and widespread application of targeted therapies, the incidence of targeted therapy-related cardiovascular AEs is expected to increase, underscoring the importance of paying earnest attention to this issue.</p>
<p>In the descriptive analysis, men and older patients accounted for a higher proportion of reported cardiovascular AEs. According to the Global Burden of Disease Study in 2016, after the age of 15&#x2009;years, the incidence of MM increases steadily with age, and a higher incidence was observed in individuals aged &gt;60 years. A 1.5-0 to 2-fold sex-specific difference in age-standardized incidence rates was identified, with men having a higher incidence than women across all age groups (<xref ref-type="bibr" rid="B23">23</xref>). These epidemiological data may explain this phenomenon; moreover, they suggest that more attention is required for screening and monitoring of cardiovascular AEs in male and older patients with MM.</p>
</sec>
<sec id="s4_2">
<title>Cardiovascular AE profile of MM-targeted therapy drugs</title>
<p>This study revealed a broad range of cardiovascular AEs associated with MM-targeted therapy, with seven SMQs identified with significantly meaningful signals: cardiomyopathy, cardiac arrhythmias, embolic and thrombotic events, pulmonary hypertension, cardiac failure, noninfectious myocarditis/pericarditis, and torsade de pointes/QT prolongation. Cardiovascular AE profiles varied among different targeted agents.</p>
<p>Daratumumab was associated with the highest number of reported cardiovascular AEs in this study. Consequently, we evaluated the cardiovascular safety data from large daratumumab clinical trials. In the POLLUX trial, cardiovascular AEs in the daratumumab plus lenalidomide/dexamethasone group included peripheral edema (25.4%), dyspnea (23.7%), and syncope (5.7%), with a higher frequencies than in the lenalidomide/dexamethasone group (<xref ref-type="bibr" rid="B8">8</xref>). The CASSIOPEIA trial revealed a slightly higher incidence of hypertension in the daratumumab plus VTd group compared with the bortezomib, thalidomide, and dexamethasone (VTd) group (6% vs. 4%) (<xref ref-type="bibr" rid="B24">24</xref>). In the MAIA trial, the daratumumab group exhibited a higher incidence of pulmonary embolism and hypertension (<xref ref-type="bibr" rid="B25">25</xref>). In our study, the abovementioned cardiovascular AEs exhibited significant signals, except for hypertension. In addition, daratumumab was significantly associated with an increased noninfectious myocarditis/pericarditis risk (IC<sub>025</sub> = 0.57), cardiac arrhythmias (IC<sub>025</sub> = 0.35), pulmonary hypertension (IC<sub>025</sub> = 0.31), cardiomyopathy (IC<sub>025</sub> = 0.23), cardiac failure (IC<sub>025</sub> = 0.22), torsade de pointes/QT prolongation (IC<sub>025</sub> = 0.17), and embolic and thrombotic events (IC<sub>025</sub> = 0.12). Noninfectious myocarditis/pericarditis exhibited the strongest signal value (IC<sub>025</sub> = 0.57), although these reports were not the most common (<italic>N</italic>=444). Meanwhile, mortality was approximately 38.9% among reported noninfectious myocarditis/pericarditis cases, suggesting that greater attention is required regarding myocarditis/pericarditis screening and prevention. Although hypertension did not exhibit a significant signal, 258 daratumumab-induced hypertension reports were observed in this study, accounting for 5.3% of all daratumumab-related cardiovascular AEs. Therefore, during the clinical application of daratumumab, monitoring of blood pressure should not be ignored. Owing to limited sample size and population, cardiovascular AE profiles are not adequately reported in clinical studies. Postmarketing surveillance and real-world data can be used to determine associated cardiovascular AEs more objectively and comprehensively. The difference between real-world and clinical research data is notable.</p>
<p>Another CD38-targeted monoclonal antibody, isatuximab, was associated with a relatively small proportion of cardiovascular AEs, which may be related to its later FDA approval. Isatuximab possessed the strongest signal value for cardiovascular AEs, suggesting that more attention should be paid to monitoring cardiovascular AEs during isatuximab clinical administration. In the IKEMA trial, the incidence of hypertension was higher in the isatuximab group than in the control group (37% vs. 31%) (<xref ref-type="bibr" rid="B26">26</xref>). In the present study, isatuximab also exhibited a significant signal for hypertension, which is different from daratumumab and elotuzumab. In addition, embolic and thrombotic events had the strongest signal (IC<sub>025</sub> = 0.82) among isatuximab-related cardiovascular AEs. This highlights the importance of thrombus and blood pressure monitoring during isatuximab administration.</p>
<p>Regarding elotuzumab, in the largest phase 3 clinical trial, 24% of patients presented with cardiac disorders; however, detailed data regarding cardiovascular events were not reported (<xref ref-type="bibr" rid="B18">18</xref>). This study described the spectrum of elotuzumab-related cardiovascular AEs. Noninfectious myocarditis/pericarditis exhibited the strongest signal (IC<sub>025</sub> = 0.84), followed by embolic and thrombotic events (IC<sub>025</sub> = 0.71), cardiac failure (IC<sub>025</sub> = 0.49), cardiac arrhythmias (IC<sub>025</sub> = 0.39), cardiomyopathy (IC<sub>025</sub> = 0.15), and torsade de pointes/QT prolongation (IC<sub>025</sub> = 0.10). Our findings address the gap regarding details of elotuzumab-related cardiovascular AEs.</p>
<p>Among the three targeted agents, atrial flutter exhibited the strongest signal among the cardiovascular PTs, which is consistent with a higher frequency of cardiac arrhythmias in the SMQ. MM arrhythmias are secondary to multifactorial arrhythmogenesis, including age, electrolyte disturbances, and cardiac amyloidosis, indicating that special attention needs to be paid to correcting reversible factors that can lead to arrhythmia in patients with MM treated with targeted drugs.</p>
<p>Collectively, these findings suggest differences in cardiovascular AEs with specific MM-targeted agents, warranting individualized cardiovascular monitoring programs for patients with MM (<xref ref-type="bibr" rid="B10">10</xref>). The mechanisms underlying cardiovascular AEs associated with isatuximab, elotuzumab, and daratumumab are poorly understood and require further investigation.</p>
</sec>
<sec id="s4_3">
<title>Onset of cardiovascular AEs with MM-targeted therapy drugs</title>
<p>To our knowledge, no study has investigated cardiovascular AE onset with MM-targeted therapy, and this study is the first to compare the onset of specific cardiovascular AEs based on SMQs. Cardiovascular AE risk was higher within the first month and gradually decreased thereafter; however, it may increase rapidly again after 1 year. This trend was observed for all AEs. Especially for pulmonary hypertension, noninfectious myocarditis/pericarditis, cardiac arrhythmias, and embolic and thrombotic events, risk was higher after 1 year than during the first month. This finding suggests that MM-targeted therapy-related cardiovascular AE risk is a dynamic variable. Care and long-term follow-ups are necessary to cope with risk changes throughout the pathway.</p>
<p>Regarding the time from administration to occurrence of AEs, the onset of elotuzumab was significantly longer than that of daratumumab and isatuximab. In addition, the Kaplan&#x2013;Meier curve showed that elotuzumab had a lower cardiovascular AE risk compared with that of daratumumab and isatuximab. This may be the reason for the number of cardiovascular AE reports for elotuzumab being significantly lower than that for daratumumab, although the reports were approved by the FDA simultaneously in 2015.</p>
</sec>
<sec id="s4_4">
<title>Outcomes and survival related to cardiovascular AEs from MM-targeted therapy drugs</title>
<p>Regarding the outcomes of AEs, this study showed that most cardiovascular AEs were serious, and deaths or life-threatening events accounted for approximately 26.3%. Although torsade de pointes/QT prolongation had the smallest number of reports (<italic>N</italic>=376), torsade de pointes/QT prolongation had the highest mortality rate (40.8%) among the reported cardiovascular AEs. However, QT prolongation has not been reported in clinical studies on MM-targeted therapy (<xref ref-type="bibr" rid="B27">27</xref>); moreover, this condition is often ignored as it is asymptomatic in patients without ventricular arrhythmia. Therefore, electrocardiogram and QT evaluation must be emphasized before and during the application of targeted therapy in patients with MM.</p>
</sec>
<sec id="s4_5">
<title>Limitations</title>
<p>Although FAERS data mining can serve as an effective auxiliary to clinical trials, some limitations of this study should be acknowledged. First, the FAERS database contains incomplete clinical data regarding history and clinical data. Second, the loss of reports or inaccurate reports are inevitable because the heterogeneous data sources of the FAERS have inconsistent processes for spontaneous reporting. Finally, all patients who received the drug were not included, which could lead to underreporting and therefore could not be used to calculate the incidence of cardiovascular AEs. Future studies should focus on converting the consequences of safety issue findings into practical clinical scenarios and address this deficiency.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Targeted therapy in patients with MM is significantly associated with an increased risk of a diverse range of cardiovascular AEs. The range and outcomes of cardiovascular AEs vary among agents; moreover, data on these events differed from the findings of previous clinical studies. These insights offer valuable evidence for the precise management of cardiovascular AEs associated with MM-targeted therapy.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: The FDA Adverse Event Reporting System (FAERS) database.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval was not required for the studies involving humans because Data for this study were extracted from the Food and Drug Administration Adverse Event Reporting System database (FAERS); an open and cost-free post-marketing safety surveillance system that gathers millions of spontaneous AE reports from healthcare professionals, patients, and drug manufacturers globally. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YZ: Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CS: Writing &#x2013; original draft. XZ: Writing &#x2013; original draft. YL: Writing &#x2013; review &amp; editing. YX: Writing &#x2013; review &amp; editing. YW: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by the CAMS Innovation Fund for Medical Sciences (CIFMS) (supported by the Special Research Fund for Central Universities, Peking Union Medical College, 2022-I2M-C&amp;T-B-069).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors acknowledge the FAERS database, under the management of the U.S. FDA, for providing access to all necessary data for our study.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Naymagon</surname> <given-names>L</given-names>
</name>
<name>
<surname>Abdul-Hay</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Novel agents in the treatment of multiple myeloma: a review about the future</article-title>. <source>J Hematol Oncol</source>. (<year>2016</year>) <volume>9</volume>:<fpage>52</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13045-016-0282-1</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sanchez</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>ML</given-names>
</name>
</person-group>. <article-title>Daratumumab: a first-in-class CD38 monoclonal antibody for the treatment of multiple myeloma</article-title>. <source>J Hematol Oncol</source>. (<year>2016</year>) <volume>9</volume>:<fpage>51</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13045-016-0283-0</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dhillon</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Isatuximab: first approval</article-title>. <source>Drugs</source>. (<year>2020</year>) <volume>80</volume>:<page-range>905&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40265-020-01311-1</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Magen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Muchtar</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Elotuzumab: the first approved monoclonal antibody for multiple myeloma treatment</article-title>. <source>Ther Adv Hematol</source>. (<year>2016</year>) <volume>7</volume>:<page-range>187&#x2013;95</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/2040620716652862</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Offidani</surname> <given-names>M</given-names>
</name>
<name>
<surname>Corvatta</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mor&#xe8;</surname> <given-names>S</given-names>
</name>
<name>
<surname>Olivieri</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Belantamab mafodotin for the treatment of multiple myeloma: an overview of the clinical efficacy and safety</article-title>. <source>Drug Des Devel Ther</source>. (<year>2021</year>) <volume>15</volume>:<page-range>2401&#x2013;15</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/DDDT.S267404</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kang</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Teclistamab: first approval</article-title>. <source>Drugs</source>. (<year>2022</year>) <volume>82</volume>:<page-range>1613&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40265-022-01793-1</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sonneveld</surname> <given-names>P</given-names>
</name>
<name>
<surname>Chanan-Khan</surname> <given-names>A</given-names>
</name>
<name>
<surname>Weisel</surname> <given-names>K</given-names>
</name>
<name>
<surname>Nooka</surname> <given-names>AK</given-names>
</name>
<name>
<surname>Masszi</surname> <given-names>T</given-names>
</name>
<name>
<surname>Beksac</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Overall survival with daratumumab, bortezomib, and dexamethasone in previously treated multiple myeloma (CASTOR): A randomized, open-label, phase III trial</article-title>. <source>J Clin Oncol</source>. (<year>2023</year>) <volume>41</volume>:<page-range>1600&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.21.02734</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dimopoulos</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Oriol</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nahi</surname> <given-names>H</given-names>
</name>
<name>
<surname>San-Miguel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bahlis</surname> <given-names>NJ</given-names>
</name>
<name>
<surname>Usmani</surname> <given-names>SZ</given-names>
</name>
<etal/>
</person-group>. <article-title>Overall survival with daratumumab, lenalidomide, and dexamethasone in previously treated multiple myeloma (POLLUX): A randomized, open-label, phase III trial</article-title>. <source>J Clin Oncol</source>. (<year>2023</year>) <volume>41</volume>:<page-range>1590&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.22.00940</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kumar</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Callander</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Adekola</surname> <given-names>K</given-names>
</name>
<name>
<surname>Anderson</surname> <given-names>LD</given-names>
<suffix>Jr</suffix>
</name>
<name>
<surname>Baljevic</surname> <given-names>M</given-names>
</name>
<name>
<surname>Baz</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Multiple myeloma, version 2.2024, NCCN clinical practice guidelines in oncology</article-title>. <source>J&#xa0;Natl Compr Canc Netw</source>. (<year>2023</year>) <volume>21</volume>:<page-range>1281&#x2013;301</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.6004/jnccn.2023.0061</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lyon</surname> <given-names>AR</given-names>
</name>
<name>
<surname>L&#xf3;pez-Fern&#xe1;ndez</surname> <given-names>T</given-names>
</name>
<name>
<surname>Couch</surname> <given-names>LS</given-names>
</name>
<name>
<surname>Asteggiano</surname> <given-names>R</given-names>
</name>
<name>
<surname>Aznar</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Bergler-Klein</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>2022 ESC Guidelines on cardio-oncology developed in collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiology and Oncology (ESTRO) and the International Cardio-Oncology Society (IC-OS)</article-title>. <source>Eur Heart J</source>. (<year>2022</year>) <volume>43</volume>(<issue>41</issue>):<page-range>4229&#x2013;361</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/eurheartj/ehac244</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Al-Yafeai</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Ghoweba</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ananthaneni</surname> <given-names>A</given-names>
</name>
<name>
<surname>Abduljabar</surname> <given-names>H</given-names>
</name>
<name>
<surname>Aziz</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>Cardiovascular complications of modern multiple myeloma therapy: A pharmacovigilance study</article-title>. <source>Br J Clin Pharmacol</source>. (<year>2023</year>) <volume>89</volume>:<page-range>641&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bcp.15499</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>X</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Cardiovascular toxicity of carfilzomib: the real-world evidence based on the adverse event reporting system database of the FDA, the United States</article-title>. <source>Front Cardiovasc Med</source>. (<year>2021</year>) <volume>8</volume>:<elocation-id>735466</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fcvm.2021.735466</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hou</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>X</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>G</given-names>
</name>
<name>
<surname>Du</surname> <given-names>X</given-names>
</name>
<name>
<surname>He</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>A comparison of disproportionality analysis methods in national adverse drug reaction databases of China</article-title>. <source>Expert Opin Drug Saf</source>. (<year>2014</year>) <volume>13</volume>:<page-range>853&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1517/14740338.2014.915938</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ang</surname> <given-names>PS</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>CL</given-names>
</name>
<name>
<surname>Tai</surname> <given-names>BC</given-names>
</name>
</person-group>. <article-title>Data mining spontaneous adverse drug event reports for safety signals in Singapore - a comparison of three different disproportionality measures</article-title>. <source>Expert Opin Drug Saf</source>. (<year>2016</year>) <volume>15</volume>:<page-range>583&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1517/14740338.2016.1167184</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nor&#xe9;n</surname> <given-names>GN</given-names>
</name>
<name>
<surname>Hopstadius</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bate</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery</article-title>. <source>Stat Methods Med Res</source>. (<year>2013</year>) <volume>22</volume>:<fpage>57</fpage>&#x2013;<lpage>69</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/0962280211403604</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richardson</surname> <given-names>PG</given-names>
</name>
<name>
<surname>Perrot</surname> <given-names>A</given-names>
</name>
<name>
<surname>San-Miguel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Beksac</surname> <given-names>M</given-names>
</name>
<name>
<surname>Spicka</surname> <given-names>I</given-names>
</name>
<name>
<surname>Leleu</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Isatuximab plus pomalidomide and low-dose dexamethasone versus pomalidomide and low-dose dexamethasone in patients with relapsed and refractory multiple myeloma (ICARIA-MM): follow-up analysis of a randomised, phase 3 study</article-title>. <source>Lancet Oncol</source>. (<year>2022</year>) <volume>23</volume>:<page-range>416&#x2013;27</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(22)00019-5</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dimopoulos</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Dytfeld</surname> <given-names>D</given-names>
</name>
<name>
<surname>Grosicki</surname> <given-names>S</given-names>
</name>
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Takezako</surname> <given-names>N</given-names>
</name>
<name>
<surname>Hori</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Elotuzumab plus pomalidomide and dexamethasone for multiple myeloma</article-title>. <source>N Engl J Med</source>. (<year>2018</year>) <volume>379</volume>:<page-range>1811&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa1805762</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dimopoulos</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Lonial</surname> <given-names>S</given-names>
</name>
<name>
<surname>White</surname> <given-names>D</given-names>
</name>
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Weisel</surname> <given-names>K</given-names>
</name>
<name>
<surname>San-Miguel</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Elotuzumab, lenalidomide, and dexamethasone in RRMM: final overall survival results from the phase 3 randomized ELOQUENT-2 study</article-title>. <source>Blood Cancer J</source>. (<year>2020</year>) <volume>10</volume>:<fpage>91</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41408-020-00357-4</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Voorhees</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Sborov</surname> <given-names>DW</given-names>
</name>
<name>
<surname>Laubach</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kaufman</surname> <given-names>JL</given-names>
</name>
<name>
<surname>Reeves</surname> <given-names>B</given-names>
</name>
<name>
<surname>Rodriguez</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Addition of daratumumab to lenalidomide, bortezomib, and dexamethasone for transplantation-eligible patients with newly diagnosed multiple myeloma (GRIFFIN): final analysis of an open-label, randomised, phase 2 trial</article-title>. <source>Lancet Haematol</source>. (<year>2023</year>) <volume>10</volume>:<fpage>e825</fpage>&#x2013;<lpage>825e837</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2352-3026(23)00217-X</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lonial</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>HC</given-names>
</name>
<name>
<surname>Badros</surname> <given-names>A</given-names>
</name>
<name>
<surname>Trudel</surname> <given-names>S</given-names>
</name>
<name>
<surname>Nooka</surname> <given-names>AK</given-names>
</name>
<name>
<surname>Chari</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Belantamab mafodotin for relapsed or refractory multiple myeloma (DREAMM-2): a two-arm, randomised, open-label, phase 2 study</article-title>. <source>Lancet Oncol</source>. (<year>2020</year>) <volume>21</volume>:<page-range>207&#x2013;21</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(19)30788-0</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mor&#xe8;</surname> <given-names>S</given-names>
</name>
<name>
<surname>Offidani</surname> <given-names>M</given-names>
</name>
<name>
<surname>Corvatta</surname> <given-names>L</given-names>
</name>
<name>
<surname>Petrucci</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Fazio</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>Belantamab mafodotin: from clinical trials data to real-life experiences</article-title>. <source>Cancers (Basel)</source>. (<year>2023</year>) <volume>15</volume>(<issue>11</issue>):<fpage>2948</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers15112948</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Garfall</surname> <given-names>AL</given-names>
</name>
<name>
<surname>van de Donk</surname> <given-names>N</given-names>
</name>
<name>
<surname>Nahi</surname> <given-names>H</given-names>
</name>
<name>
<surname>San-Miguel</surname> <given-names>JF</given-names>
</name>
<name>
<surname>Oriol</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>.&#xa0;<article-title>Teclistamab in relapsed or refractory multiple myeloma</article-title>. <source>N Engl J Med</source>. (<year>2022</year>) <volume>387</volume>:<fpage>495</fpage>&#x2013;<lpage>505</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa2203478</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Mi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zeng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Incidence and mortality of multiple myeloma in China, 2006-2016: an analysis of the Global Burden of Disease Study 2016</article-title>. <source>J Hematol Oncol</source>. (<year>2019</year>) <volume>12</volume>:<fpage>136</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13045-019-0807-5</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Hulin</surname> <given-names>C</given-names>
</name>
<name>
<surname>Perrot</surname> <given-names>A</given-names>
</name>
<name>
<surname>Arnulf</surname> <given-names>B</given-names>
</name>
<name>
<surname>Belhadj</surname> <given-names>K</given-names>
</name>
<name>
<surname>Benboubker</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>Maintenance with daratumumab or observation following treatment with bortezomib, thalidomide, and dexamethasone with or without daratumumab and autologous stem-cell transplant in patients with newly diagnosed multiple myeloma (CASSIOPEIA): an open-label, randomised, phase 3 trial</article-title>. <source>Lancet Oncol</source>. (<year>2021</year>) <volume>22</volume>:<page-range>1378&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(21)00428-9</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Facon</surname> <given-names>T</given-names>
</name>
<name>
<surname>Kumar</surname> <given-names>SK</given-names>
</name>
<name>
<surname>Plesner</surname> <given-names>T</given-names>
</name>
<name>
<surname>Orlowski</surname> <given-names>RZ</given-names>
</name>
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bahlis</surname> <given-names>N</given-names>
</name>
<etal/>
</person-group>. <article-title>Daratumumab, lenalidomide, and dexamethasone versus lenalidomide and dexamethasone alone in newly diagnosed multiple myeloma (MAIA): overall survival results from a randomised, open-label, phase 3 trial</article-title>. <source>Lancet Oncol</source>. (<year>2021</year>) <volume>22</volume>:<page-range>1582&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(21)00466-6</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moreau</surname> <given-names>P</given-names>
</name>
<name>
<surname>Dimopoulos</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Mikhael</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yong</surname> <given-names>K</given-names>
</name>
<name>
<surname>Capra</surname> <given-names>M</given-names>
</name>
<name>
<surname>Facon</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Isatuximab, carfilzomib, and dexamethasone in relapsed multiple myeloma (IKEMA): a multicentre, open-label, randomised phase 3 trial</article-title>. <source>Lancet</source>. (<year>2021</year>) <volume>397</volume>:<page-range>2361&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(21)00592-4</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Passey</surname> <given-names>C</given-names>
</name>
<name>
<surname>Darbenzio</surname> <given-names>R</given-names>
</name>
<name>
<surname>Jou</surname> <given-names>YM</given-names>
</name>
<name>
<surname>Lynch</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gupta</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Effects of elotuzumab on QT interval and cardiac safety in patients with multiple myeloma</article-title>. <source>Cancer Chemother Pharmacol</source>. (<year>2016</year>) <volume>78</volume>:<page-range>1237&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00280-016-3182-8</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>